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You searched for subject:(Word2vec). Showing records 1 – 30 of 44 total matches.

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NSYSU

1. CHEN, JIAN-HONG. News Sentiment, Return and Investor Trading Behavior.

Degree: Master, Finance, 2018, NSYSU

 Past studies have confirmed that sentiment is one of the important factors affecting market returns. How to capture the sentiment indicator is the main subject.… (more)

Subjects/Keywords: text mining (Word2vec); news sentiment; machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

CHEN, J. (2018). News Sentiment, Return and Investor Trading Behavior. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618118-151858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

CHEN, JIAN-HONG. “News Sentiment, Return and Investor Trading Behavior.” 2018. Thesis, NSYSU. Accessed August 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618118-151858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

CHEN, JIAN-HONG. “News Sentiment, Return and Investor Trading Behavior.” 2018. Web. 03 Aug 2020.

Vancouver:

CHEN J. News Sentiment, Return and Investor Trading Behavior. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Aug 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618118-151858.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

CHEN J. News Sentiment, Return and Investor Trading Behavior. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0618118-151858

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

2. Haljuk, Petr. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2018, Brno University of Technology

 This Bachelor's thesis deals with the semantic similarity of words . It describes the design and the implementation of a system, which searches for the… (more)

Subjects/Keywords: zpracování přirozeného jazyka; sémantická podobnost; GenSim; Word2Vec; natural language processing; semantic similarity; GenSim; Word2Vec

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Haljuk, P. (2018). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Haljuk, Petr. “Shlukování slov podle významu: Word Sense Clustering.” 2018. Thesis, Brno University of Technology. Accessed August 03, 2020. http://hdl.handle.net/11012/52560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Haljuk, Petr. “Shlukování slov podle významu: Word Sense Clustering.” 2018. Web. 03 Aug 2020.

Vancouver:

Haljuk P. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11012/52560.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Haljuk P. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/52560

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

3. Smutka, Miloslav. Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain.

Degree: 2019, Brno University of Technology

This bachelor thesis works with the idea, implementation and evaluation of resulting system for retrieval of semantically related words. For the determination of word relations, gensim library word2vec model is used. Advisors/Committee Members: Smrž, Pavel (advisor), Otrusina, Lubomír (referee).

Subjects/Keywords: zpracování přirozeného jazyka; sémantická podobnost; gensim; word2vec; natural language processing; semantic similarity; gensim; word2vec

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APA (6th Edition):

Smutka, M. (2019). Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Smutka, Miloslav. “Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain.” 2019. Thesis, Brno University of Technology. Accessed August 03, 2020. http://hdl.handle.net/11012/62040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Smutka, Miloslav. “Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain.” 2019. Web. 03 Aug 2020.

Vancouver:

Smutka M. Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11012/62040.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Smutka M. Určování blízkost pojmů v oblasti informačních technologií: Identifying Term Similarity in Information Technology Domain. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/62040

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Hošták, Viliam Samuel. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2019, Brno University of Technology

 This thesis deals with semantic similarity of words. It describes and compares existing models that are currently used for this purpose. It discusses the design… (more)

Subjects/Keywords: spracovanie prirodzeného jazyka; sémantická podobnosť; Word2vec; FastText; GloVe; Gensim; natural language processing; semantic similarity; Word2vec; FastText; GloVe; Gensim

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hošták, V. S. (2019). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hošták, Viliam Samuel. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Thesis, Brno University of Technology. Accessed August 03, 2020. http://hdl.handle.net/11012/69755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hošták, Viliam Samuel. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Web. 03 Aug 2020.

Vancouver:

Hošták VS. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11012/69755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hošták VS. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

5. Blomkvist, Oscar. Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports.

Degree: Mathematical Statistics, 2019, KTH

In this thesis, we analyse the sentiment in equity research reports written by analysts at Skandinaviska Enskilda Banken (SEB). We provide a description of… (more)

Subjects/Keywords: Equity research; NLP; sentiment classification; logistic regression; word2vec; LSTM; Aktieanalys; NLP; sentimentklassificering; logistisk regression; word2vec; LSTM; Mathematics; Matematik

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APA (6th Edition):

Blomkvist, O. (2019). Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Blomkvist, Oscar. “Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports.” 2019. Thesis, KTH. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Blomkvist, Oscar. “Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports.” 2019. Web. 03 Aug 2020.

Vancouver:

Blomkvist O. Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports. [Internet] [Thesis]. KTH; 2019. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Blomkvist O. Machine Learning Based Sentiment Classification of Text, with Application to Equity Research Reports. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257506

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

6. Cai, Jia-Wun. Finding Potential Business through Text Mining Techniques Based on Automotive Industry.

Degree: Master, Information Management, 2017, NSYSU

 In recent years, the breakthrough of science and technology has greatly changed human life. With the development of Internet and acceleration in global competition, economic… (more)

Subjects/Keywords: text mining; word2vec; enterprise performance; data envelopment analysis; Malmquist productivity index

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cai, J. (2017). Finding Potential Business through Text Mining Techniques Based on Automotive Industry. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-123439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cai, Jia-Wun. “Finding Potential Business through Text Mining Techniques Based on Automotive Industry.” 2017. Thesis, NSYSU. Accessed August 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-123439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cai, Jia-Wun. “Finding Potential Business through Text Mining Techniques Based on Automotive Industry.” 2017. Web. 03 Aug 2020.

Vancouver:

Cai J. Finding Potential Business through Text Mining Techniques Based on Automotive Industry. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Aug 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-123439.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cai J. Finding Potential Business through Text Mining Techniques Based on Automotive Industry. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0621117-123439

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

7. Tsai, Hsin-Wu. Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System.

Degree: Master, Information Management, 2018, NSYSU

 Following the advance of the Internet, nowadays when people access information in the Internet with search engines is far beyond the traditional way of reading… (more)

Subjects/Keywords: Language conversion; Chinese data processing; Word2Vec; Deep learning; Question answering dataset

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APA (6th Edition):

Tsai, H. (2018). Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-001514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsai, Hsin-Wu. “Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System.” 2018. Thesis, NSYSU. Accessed August 03, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-001514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsai, Hsin-Wu. “Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System.” 2018. Web. 03 Aug 2020.

Vancouver:

Tsai H. Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Aug 03]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-001514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsai H. Extending Knowledge in Different Languages with the Deep Learning Model for a Chinese Q-A System. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0616118-001514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


UCLA

8. Li, Siyuan. Application of Recurrent Neural Networks In Toxic Comment Classification.

Degree: Statistics, 2018, UCLA

 Moderators of online discussion forums often struggle with controlling extremist comments on their platforms. To help provide an efficient and accurate tool to detect online… (more)

Subjects/Keywords: Statistics; classification; natural language processing; recurrent neural network; word2vec

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APA (6th Edition):

Li, S. (2018). Application of Recurrent Neural Networks In Toxic Comment Classification. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/5f87h061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Siyuan. “Application of Recurrent Neural Networks In Toxic Comment Classification.” 2018. Thesis, UCLA. Accessed August 03, 2020. http://www.escholarship.org/uc/item/5f87h061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Siyuan. “Application of Recurrent Neural Networks In Toxic Comment Classification.” 2018. Web. 03 Aug 2020.

Vancouver:

Li S. Application of Recurrent Neural Networks In Toxic Comment Classification. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Aug 03]. Available from: http://www.escholarship.org/uc/item/5f87h061.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li S. Application of Recurrent Neural Networks In Toxic Comment Classification. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/5f87h061

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

9. Lewenhaupt, Adam. The impact of corpus choice in domain specific knowledge representation.

Degree: Industrial Engineering and Management (ITM), 2017, KTH

  Recent advents in the machine learning community, driven by larger datasets and novel algorithmic approaches to deep reinforcement learning, reward the use of large… (more)

Subjects/Keywords: word2vec; Media Engineering; Mediateknik

…2.4 Word2vec formalized In this section, word2vec is more formally described and some of… …produced a new method called word2vec, in this method semantic information is retained in the… …popular word2vec model skip-gram is introduced. Skip-gram is a model for estimating continuous… …representation of words (word2vec). What is so interesting about skip-gram and its cousin… …of intuition captured in the word2vec model. The graph in figure four shows that while the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lewenhaupt, A. (2017). The impact of corpus choice in domain specific knowledge representation. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220679

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lewenhaupt, Adam. “The impact of corpus choice in domain specific knowledge representation.” 2017. Thesis, KTH. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220679.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lewenhaupt, Adam. “The impact of corpus choice in domain specific knowledge representation.” 2017. Web. 03 Aug 2020.

Vancouver:

Lewenhaupt A. The impact of corpus choice in domain specific knowledge representation. [Internet] [Thesis]. KTH; 2017. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220679.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lewenhaupt A. The impact of corpus choice in domain specific knowledge representation. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-220679

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


San Jose State University

10. Chandak, Aniket. Word Embedding Techniques for Malware Classification.

Degree: MS, Computer Science, 2020, San Jose State University

  Word embeddings are often used in natural language processing as a means to quantify relationships between words. More generally, these same word embedding techniques… (more)

Subjects/Keywords: Malware classification; HMM2Vec; Word2Vec; PCA2Vec; Artificial Intelligence and Robotics; Information Security

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APA (6th Edition):

Chandak, A. (2020). Word Embedding Techniques for Malware Classification. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/926

Chicago Manual of Style (16th Edition):

Chandak, Aniket. “Word Embedding Techniques for Malware Classification.” 2020. Masters Thesis, San Jose State University. Accessed August 03, 2020. https://scholarworks.sjsu.edu/etd_projects/926.

MLA Handbook (7th Edition):

Chandak, Aniket. “Word Embedding Techniques for Malware Classification.” 2020. Web. 03 Aug 2020.

Vancouver:

Chandak A. Word Embedding Techniques for Malware Classification. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2020 Aug 03]. Available from: https://scholarworks.sjsu.edu/etd_projects/926.

Council of Science Editors:

Chandak A. Word Embedding Techniques for Malware Classification. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/926


Brno University of Technology

11. Jadrníček, Zbyněk. Shlukování slov podle významu: Word Sense Clustering.

Degree: 2019, Brno University of Technology

 This thesis is focused on the problem of semantic similarity of words in English language. At first reader is informed about theory of word sense… (more)

Subjects/Keywords: biomedicínská data; sémantická podobnost; tokenizace; vektorový prostorový model; Word2Vec; zpracování přirozeného jazyka; biomedical data; semantic similarity; tokenization; vector space model; Word2Vec; natural language processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jadrníček, Z. (2019). Shlukování slov podle významu: Word Sense Clustering. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jadrníček, Zbyněk. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Thesis, Brno University of Technology. Accessed August 03, 2020. http://hdl.handle.net/11012/52223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jadrníček, Zbyněk. “Shlukování slov podle významu: Word Sense Clustering.” 2019. Web. 03 Aug 2020.

Vancouver:

Jadrníček Z. Shlukování slov podle významu: Word Sense Clustering. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11012/52223.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jadrníček Z. Shlukování slov podle významu: Word Sense Clustering. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52223

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Majer, Črtomir. Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed.

Degree: 2017, Univerza v Mariboru

V magistrskem delu smo se spopadli s problemom samodejne gradnje računalniške baze znanja, z uporabo analitike besedil in tehnik nenadzorovanega strojnega učenja. Definirali in implementirali… (more)

Subjects/Keywords: analitika besedil; semantična mreža; odprto pridobivanje informacij; word2vec; nenadzorovano učenje; text analytics; semantic network; open information extraction; word2vec; unsupervised learning; info:eu-repo/classification/udc/004.82:004.65(043.2)

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APA (6th Edition):

Majer, . (2017). Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=66528 ; https://dk.um.si/Dokument.php?id=113367&dn= ; https://plus.si.cobiss.net/opac7/bib/20969238?lang=sl

Chicago Manual of Style (16th Edition):

Majer, Črtomir. “Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed.” 2017. Masters Thesis, Univerza v Mariboru. Accessed August 03, 2020. https://dk.um.si/IzpisGradiva.php?id=66528 ; https://dk.um.si/Dokument.php?id=113367&dn= ; https://plus.si.cobiss.net/opac7/bib/20969238?lang=sl.

MLA Handbook (7th Edition):

Majer, Črtomir. “Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed.” 2017. Web. 03 Aug 2020.

Vancouver:

Majer . Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed. [Internet] [Masters thesis]. Univerza v Mariboru; 2017. [cited 2020 Aug 03]. Available from: https://dk.um.si/IzpisGradiva.php?id=66528 ; https://dk.um.si/Dokument.php?id=113367&dn= ; https://plus.si.cobiss.net/opac7/bib/20969238?lang=sl.

Council of Science Editors:

Majer . Uporaba analitike besedil za samodejno gradnjo semantične mreže na osnovi ključnih besed. [Masters Thesis]. Univerza v Mariboru; 2017. Available from: https://dk.um.si/IzpisGradiva.php?id=66528 ; https://dk.um.si/Dokument.php?id=113367&dn= ; https://plus.si.cobiss.net/opac7/bib/20969238?lang=sl


Linköping University

13. Pettersson, Tove. Word2vec2syn : Synonymidentifiering med Word2vec.

Degree: The Division of Statistics and Machine Learning, 2019, Linköping University

Inom NLP (eng. natural language processing) är synonymidentifiering en av de språkvetenskapliga utmaningarna som många antar. Fodina Language Technology AB är ett företag som… (more)

Subjects/Keywords: Word2vec; synonym identification; vector space model; word vectors; cosine similarity; Word2vec; synonymidentifiering; vektorrymdsmodell; ordvektorer; cosinuslikhet; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pettersson, T. (2019). Word2vec2syn : Synonymidentifiering med Word2vec. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pettersson, Tove. “Word2vec2syn : Synonymidentifiering med Word2vec.” 2019. Thesis, Linköping University. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pettersson, Tove. “Word2vec2syn : Synonymidentifiering med Word2vec.” 2019. Web. 03 Aug 2020.

Vancouver:

Pettersson T. Word2vec2syn : Synonymidentifiering med Word2vec. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157638.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pettersson T. Word2vec2syn : Synonymidentifiering med Word2vec. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157638

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

14. Lekic, Sasa. Intent classification through conversational interfaces : Classification within a small domain.

Degree: Electrical Engineering and Computer Science (EECS), 2019, KTH

Natural language processing and Machine learning are subjects undergoing intense study nowadays. These fields are continually spreading, and are more interrelated than ever before.… (more)

Subjects/Keywords: Intent classification; input categorisation; conversational interfaces; SVM; Word2Vec; BERT; small domain; Avsiktsklassificering; input kategorisering; conversational interfaces; SVM; Word2Vec; BERT; begränsad domän; Computer and Information Sciences; Data- och informationsvetenskap

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lekic, S. (2019). Intent classification through conversational interfaces : Classification within a small domain. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lekic, Sasa. “Intent classification through conversational interfaces : Classification within a small domain.” 2019. Thesis, KTH. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lekic, Sasa. “Intent classification through conversational interfaces : Classification within a small domain.” 2019. Web. 03 Aug 2020.

Vancouver:

Lekic S. Intent classification through conversational interfaces : Classification within a small domain. [Internet] [Thesis]. KTH; 2019. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lekic S. Intent classification through conversational interfaces : Classification within a small domain. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia State University

15. Ma, Long. A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy.

Degree: PhD, Computer Science, 2017, Georgia State University

  Text classification, the task of metadata to documents, needs a person to take significant time and effort. Since online-generated contents are explosively growing, it… (more)

Subjects/Keywords: Multi-label Text Classification; Feature Selection; Word2Vec; Natural Language Processing; Depression Symptoms; Social Media

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ma, L. (2017). A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/134

Chicago Manual of Style (16th Edition):

Ma, Long. “A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy.” 2017. Doctoral Dissertation, Georgia State University. Accessed August 03, 2020. https://scholarworks.gsu.edu/cs_diss/134.

MLA Handbook (7th Edition):

Ma, Long. “A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy.” 2017. Web. 03 Aug 2020.

Vancouver:

Ma L. A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2020 Aug 03]. Available from: https://scholarworks.gsu.edu/cs_diss/134.

Council of Science Editors:

Ma L. A Multi-label Text Classification Framework: Using Supervised and Unsupervised Feature Selection Strategy. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/cs_diss/134


University of Saskatchewan

16. Saifullah, C M Khaled 1993-. Learning APIs through Mining Code Snippet Examples.

Degree: 2020, University of Saskatchewan

 Developers extensively use and reuse the Application Programming Interfaces (APIs) to faster the development time and effort. In order to do this, developers need to… (more)

Subjects/Keywords: API; Context-Sensitive; Code Compeltion; Neural Encoder Decoder; FQN; Word2Vec, Type System, Deep Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saifullah, C. M. K. 1. (2020). Learning APIs through Mining Code Snippet Examples. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saifullah, C M Khaled 1993-. “Learning APIs through Mining Code Snippet Examples.” 2020. Thesis, University of Saskatchewan. Accessed August 03, 2020. http://hdl.handle.net/10388/12688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saifullah, C M Khaled 1993-. “Learning APIs through Mining Code Snippet Examples.” 2020. Web. 03 Aug 2020.

Vancouver:

Saifullah CMK1. Learning APIs through Mining Code Snippet Examples. [Internet] [Thesis]. University of Saskatchewan; 2020. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10388/12688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saifullah CMK1. Learning APIs through Mining Code Snippet Examples. [Thesis]. University of Saskatchewan; 2020. Available from: http://hdl.handle.net/10388/12688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Saskatchewan

17. Saifullah, C M Khaled 1993-. Learning APIs through Mining Code Snippet Examples.

Degree: 2020, University of Saskatchewan

 Developers extensively use and reuse the Application Programming Interfaces (APIs) to faster the development time and effort. In order to do this, developers need to… (more)

Subjects/Keywords: API; Context-Sensitive; Code Compeltion; Neural Encoder Decoder; FQN; Word2Vec, Type System, Deep Learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Saifullah, C. M. K. 1. (2020). Learning APIs through Mining Code Snippet Examples. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12581

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Saifullah, C M Khaled 1993-. “Learning APIs through Mining Code Snippet Examples.” 2020. Thesis, University of Saskatchewan. Accessed August 03, 2020. http://hdl.handle.net/10388/12581.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Saifullah, C M Khaled 1993-. “Learning APIs through Mining Code Snippet Examples.” 2020. Web. 03 Aug 2020.

Vancouver:

Saifullah CMK1. Learning APIs through Mining Code Snippet Examples. [Internet] [Thesis]. University of Saskatchewan; 2020. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10388/12581.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Saifullah CMK1. Learning APIs through Mining Code Snippet Examples. [Thesis]. University of Saskatchewan; 2020. Available from: http://hdl.handle.net/10388/12581

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Fulda, Nancy Ellen. Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding.

Degree: PhD, 2019, Brigham Young University

  Many applications of neural linguistic models rely on their use as pre-trained features for downstream tasks such as dialog modeling, machine translation, and question… (more)

Subjects/Keywords: Nancy Fulda; dissertation; knowledge representation; linguistic embeddings; word2vec; FastText; universal sentence encoder; BERT embeddings; sentence embedding; common-sense reasoning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fulda, N. E. (2019). Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8550&context=etd

Chicago Manual of Style (16th Edition):

Fulda, Nancy Ellen. “Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding.” 2019. Doctoral Dissertation, Brigham Young University. Accessed August 03, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8550&context=etd.

MLA Handbook (7th Edition):

Fulda, Nancy Ellen. “Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding.” 2019. Web. 03 Aug 2020.

Vancouver:

Fulda NE. Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding. [Internet] [Doctoral dissertation]. Brigham Young University; 2019. [cited 2020 Aug 03]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8550&context=etd.

Council of Science Editors:

Fulda NE. Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding. [Doctoral Dissertation]. Brigham Young University; 2019. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8550&context=etd


Linköping University

19. Svensson, Pontus. Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System.

Degree: Human-Centered systems, 2020, Linköping University

  Multimodal machine learning is a subfield of machine learning that aims to relate data from different modalities, such as texts and images. One of… (more)

Subjects/Keywords: nlp; natural; language; processing; computer; vision; image; classification; news; articles; suggestions; retrieval; Word2vec; Doc2vec; Computer and Information Sciences; Data- och informationsvetenskap

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Svensson, P. (2020). Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Svensson, Pontus. “Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System.” 2020. Thesis, Linköping University. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Svensson, Pontus. “Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System.” 2020. Web. 03 Aug 2020.

Vancouver:

Svensson P. Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System. [Internet] [Thesis]. Linköping University; 2020. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166669.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svensson P. Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166669

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of New Orleans

20. Handler, Abram. An empirical study of semantic similarity in WordNet and Word2Vec.

Degree: Computer Science, 2014, University of New Orleans

  This thesis performs an empirical analysis of Word2Vec by comparing its output to WordNet, a well-known, human-curated lexical database. It finds that Word2Vec tends… (more)

Subjects/Keywords: Word2Vec; Natural Language Processing; WordNet; Distributional Semantics; Artificial Intelligence and Robotics; Computational Linguistics; Other Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Handler, A. (2014). An empirical study of semantic similarity in WordNet and Word2Vec. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Handler, Abram. “An empirical study of semantic similarity in WordNet and Word2Vec.” 2014. Thesis, University of New Orleans. Accessed August 03, 2020. https://scholarworks.uno.edu/td/1922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Handler, Abram. “An empirical study of semantic similarity in WordNet and Word2Vec.” 2014. Web. 03 Aug 2020.

Vancouver:

Handler A. An empirical study of semantic similarity in WordNet and Word2Vec. [Internet] [Thesis]. University of New Orleans; 2014. [cited 2020 Aug 03]. Available from: https://scholarworks.uno.edu/td/1922.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Handler A. An empirical study of semantic similarity in WordNet and Word2Vec. [Thesis]. University of New Orleans; 2014. Available from: https://scholarworks.uno.edu/td/1922

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

21. Kindberg, Erik. Word embeddings and Patient records : The identification of MRI risk patients.

Degree: Computer and Information Science, 2019, Linköping University

  Identification of risks ahead of MRI examinations is identified as a cumbersome and time-consuming process at the Linköping University Hospital radiology clinic. The hospital… (more)

Subjects/Keywords: word2vec; word embeddings; patient records; MRI safety; digital healthcare; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kindberg, E. (2019). Word embeddings and Patient records : The identification of MRI risk patients. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157467

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kindberg, Erik. “Word embeddings and Patient records : The identification of MRI risk patients.” 2019. Thesis, Linköping University. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157467.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kindberg, Erik. “Word embeddings and Patient records : The identification of MRI risk patients.” 2019. Web. 03 Aug 2020.

Vancouver:

Kindberg E. Word embeddings and Patient records : The identification of MRI risk patients. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157467.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kindberg E. Word embeddings and Patient records : The identification of MRI risk patients. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157467

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

22. Wallin, Moa. Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses.

Degree: Computer and Information Science, 2019, Linköping University

  When clustering together synonyms, complications arise in cases of the words having multiple senses as each sense’s synonyms are erroneously clustered together. The task… (more)

Subjects/Keywords: SenseGram; unsupervised word sense disambiguation; word sense induction; word2vec; homonymy; ambiguity; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wallin, M. (2019). Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wallin, Moa. “Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses.” 2019. Thesis, Linköping University. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wallin, Moa. “Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses.” 2019. Web. 03 Aug 2020.

Vancouver:

Wallin M. Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157622.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wallin M. Ambiguous synonyms : Implementing an unsupervised WSD system for division of synonym clusters containing multiple senses. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157622

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Uppsala University

23. Wang, Run Fen. Semantic Text Matching Using Convolutional Neural Networks.

Degree: Linguistics and Philology, 2018, Uppsala University

  Semantic text matching is a fundamental task for many applications in NaturalLanguage Processing (NLP). Traditional methods using term frequencyinversedocument frequency (TF-IDF) to match exact… (more)

Subjects/Keywords: Text matching; CNN; TF-IDF; Word embedding; Word2vec; NLP; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, R. F. (2018). Semantic Text Matching Using Convolutional Neural Networks. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Run Fen. “Semantic Text Matching Using Convolutional Neural Networks.” 2018. Thesis, Uppsala University. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Run Fen. “Semantic Text Matching Using Convolutional Neural Networks.” 2018. Web. 03 Aug 2020.

Vancouver:

Wang RF. Semantic Text Matching Using Convolutional Neural Networks. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362134.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang RF. Semantic Text Matching Using Convolutional Neural Networks. [Thesis]. Uppsala University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-362134

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


San Jose State University

24. Gaikwad, Neha. Comparison of Word2vec with Hash2vec for Machine Translation.

Degree: MS, Computer Science, 2020, San Jose State University

  Machine Translation is the study of computer translation of a text written in one human language into text in a different language. Within this… (more)

Subjects/Keywords: Hash2vec; Word2Vec; Sequence-to-Sequence Translation; ​Deep Learning​; R​ecurrent Neural Network (RNN); Principal Component Analysis (PCA).; Artificial Intelligence and Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gaikwad, N. (2020). Comparison of Word2vec with Hash2vec for Machine Translation. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/919

Chicago Manual of Style (16th Edition):

Gaikwad, Neha. “Comparison of Word2vec with Hash2vec for Machine Translation.” 2020. Masters Thesis, San Jose State University. Accessed August 03, 2020. https://scholarworks.sjsu.edu/etd_projects/919.

MLA Handbook (7th Edition):

Gaikwad, Neha. “Comparison of Word2vec with Hash2vec for Machine Translation.” 2020. Web. 03 Aug 2020.

Vancouver:

Gaikwad N. Comparison of Word2vec with Hash2vec for Machine Translation. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2020 Aug 03]. Available from: https://scholarworks.sjsu.edu/etd_projects/919.

Council of Science Editors:

Gaikwad N. Comparison of Word2vec with Hash2vec for Machine Translation. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/919


San Jose State University

25. Kale, Aparna Sunil. Malware Classification Based on Hidden Markov Model and Word2Vec Features.

Degree: MS, Computer Science, 2020, San Jose State University

  Malware classification is an important and challenging problem in information security. Modern malware classification techniques rely on machine learning models that can be trained… (more)

Subjects/Keywords: Hybrid malware classification; HMM; Word2vec; SVM; k-NN; random forest; deep neural networks; Artificial Intelligence and Robotics; Information Security

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kale, A. S. (2020). Malware Classification Based on Hidden Markov Model and Word2Vec Features. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/921

Chicago Manual of Style (16th Edition):

Kale, Aparna Sunil. “Malware Classification Based on Hidden Markov Model and Word2Vec Features.” 2020. Masters Thesis, San Jose State University. Accessed August 03, 2020. https://scholarworks.sjsu.edu/etd_projects/921.

MLA Handbook (7th Edition):

Kale, Aparna Sunil. “Malware Classification Based on Hidden Markov Model and Word2Vec Features.” 2020. Web. 03 Aug 2020.

Vancouver:

Kale AS. Malware Classification Based on Hidden Markov Model and Word2Vec Features. [Internet] [Masters thesis]. San Jose State University; 2020. [cited 2020 Aug 03]. Available from: https://scholarworks.sjsu.edu/etd_projects/921.

Council of Science Editors:

Kale AS. Malware Classification Based on Hidden Markov Model and Word2Vec Features. [Masters Thesis]. San Jose State University; 2020. Available from: https://scholarworks.sjsu.edu/etd_projects/921

26. Florou, Eirini. Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης.

Degree: 2017, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

 The object of this thesis is the automatic differentiation between literal and metaphorical meaning in authentic non-annotated phrases from the Corpus of Greek Texts by… (more)

Subjects/Keywords: Μεταφορά; Νευρωνικό γλωσσικό μοντέλο; Κατανεμητική σημασιολογία; Υπολογιστική σημασιολογία; Διανυσματικές αναπαραστάσεις λέξεων; Περικείμενο; Αλγόριθμος βαθιάς εκμάθησης word2vec; Metaphor; Neural language model; Distributional semantics; Computational semantics; Word embeddings; Context; Deep learning algorithm word2vec

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Florou, E. (2017). Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/41714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Florou, Eirini. “Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης.” 2017. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed August 03, 2020. http://hdl.handle.net/10442/hedi/41714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Florou, Eirini. “Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης.” 2017. Web. 03 Aug 2020.

Vancouver:

Florou E. Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2017. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/10442/hedi/41714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Florou E. Αυτόματη διάκριση μεταφορικής και κυριολεκτικής σημασίας σε σώματα κειμένων της ελληνικής με υπολογιστικές μεθόδους μηχανικής μάθησης. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2017. Available from: http://hdl.handle.net/10442/hedi/41714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

27. Šůstek, Martin. Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information.

Degree: 2019, Brno University of Technology

 This thesis is concerned with the explanation of the word2vec models. Even though word2vec was introduced recently (2013), many researchers have already tried to extend,… (more)

Subjects/Keywords: NLP; LM; AI; CNN; Zpracování přirozeného jazyka; Word2vec; Vnořování slov; Neuronové sítě; Sémantická podobnost; Softmax; Umělá inteligence; Konvoluční neuronové sítě; NLP; LM; AI; CNN; Natural Language Processing; Language Modelling; Word2vec; Word Embeddings; Artificial Neural Networks; Semantic Similarity; Softmax; Artificial Inteligence; Convolution Neural Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Šůstek, M. (2019). Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69531

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Šůstek, Martin. “Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information.” 2019. Thesis, Brno University of Technology. Accessed August 03, 2020. http://hdl.handle.net/11012/69531.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Šůstek, Martin. “Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information.” 2019. Web. 03 Aug 2020.

Vancouver:

Šůstek M. Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/11012/69531.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šůstek M. Word2vec modely s přidanou kontextovou informací: Word2vec Models with Added Context Information. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69531

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Gungor, Abdulmecit. Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Authorship attribution (AA) is the process of identifying the author of a given text and from the machine learning perspective,… (more)

Subjects/Keywords: Authorship Attribution; Word2Vec; Doc2Vec; Word2Vec Inversion; Unsupervised Feature Learning in Text Mining; Word Scoring

Word2Vec 2-D Closest Words for ’listen’ . . . . . . . . . . . . . . . . . . . 50 5.1 Xgboost… …such as Word2Vec, paragraph2vec, and other useful feature selection and extraction techniques… …or newly developed techniques like Word2Vec. To improve our success rate, we have combined… …such as sentiment analysis with Word2Vec or text summarization. Using the introduced NLP… …methodologies such as feature stack engineering with different classifiers, or using Word2Vec to… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gungor, A. (2018). Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/15938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gungor, Abdulmecit. “Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists.” 2018. Thesis, IUPUI. Accessed August 03, 2020. http://hdl.handle.net/1805/15938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gungor, Abdulmecit. “Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists.” 2018. Web. 03 Aug 2020.

Vancouver:

Gungor A. Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists. [Internet] [Thesis]. IUPUI; 2018. [cited 2020 Aug 03]. Available from: http://hdl.handle.net/1805/15938.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gungor A. Benchmarking authorship attribution techniques using over a thousand books by fifty Victorian era novelists. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/15938

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

29. Lachmann, Tim. Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum.

Degree: Computer Science and Communication (CSC), 2017, KTH

I takt med att informationsmängden ökar i samhället ställs högre krav på mer förfinade metoder för sökning och hantering av information. Att utvinna relevant… (more)

Subjects/Keywords: word2vec; fasttext; glove; LSI; LSA; word embeddings; information retrieval; search engine; machine learning; neural networks; natural language processing; NLP; distributional representations; word2vec; fasttext; glove; LSI; LSA; ordinbäddning; informationssökning; sökmotor; maskininlärning; språkteknologi; neurala nätverk; distributionella representationer; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lachmann, T. (2017). Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lachmann, Tim. “Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum.” 2017. Thesis, KTH. Accessed August 03, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lachmann, Tim. “Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum.” 2017. Web. 03 Aug 2020.

Vancouver:

Lachmann T. Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum. [Internet] [Thesis]. KTH; 2017. [cited 2020 Aug 03]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209695.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lachmann T. Distributionella representationer av ord för effektiv informationssökning : Algoritmer för sökning i kundsupportforum. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209695

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Urra, Felipe. Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information.

Degree: 2019, University of Western Ontario

 Word embedding models have been an important contribution to natural language processing; following the distributional hypothesis, "words used in similar contexts tend to have similar… (more)

Subjects/Keywords: Word embedding; word2vec; fastText; dict2vec; word similarity; dictionary information

…4.21 4.22 4.23 4.24 Box plot for results of word2vec, fastText and subwords Box plot for… …vii List of Tables 4.1 4.2 4.3 4.4 4.5 4.6 Top 5 score results for word2vec… …after word2vec [16] was proposed in 2013. A shallow neural network (composed of… …word2vec successfully modeled this property via addition and substraction operations on the word… …word2vec, defining the basic concepts and ideas, and describing some optimizations over the… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Urra, F. (2019). Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6262

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Urra, Felipe. “Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information.” 2019. Thesis, University of Western Ontario. Accessed August 03, 2020. https://ir.lib.uwo.ca/etd/6262.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Urra, Felipe. “Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information.” 2019. Web. 03 Aug 2020.

Vancouver:

Urra F. Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information. [Internet] [Thesis]. University of Western Ontario; 2019. [cited 2020 Aug 03]. Available from: https://ir.lib.uwo.ca/etd/6262.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Urra F. Measuring Enrichment Of Word Embeddings With Subword And Dictionary Information. [Thesis]. University of Western Ontario; 2019. Available from: https://ir.lib.uwo.ca/etd/6262

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2]

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