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You searched for subject:(Text Embedding). Showing records 1 – 13 of 13 total matches.

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Clemson University

1. Sybrandt, Justin George. Exploiting Latent Features of Text and Graphs.

Degree: PhD, School of Computing, 2020, Clemson University

  As the size and scope of online data continues to grow, new machine learning techniques become necessary to best capitalize on the wealth of… (more)

Subjects/Keywords: Conditional Text Generation; Graph Embedding; Hypergraph Partitioning; Hypothesis Generation; Literature-based Discovery; Text Embedding

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

APA (6th Edition):

Sybrandt, J. G. (2020). Exploiting Latent Features of Text and Graphs. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2592

Chicago Manual of Style (16th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Doctoral Dissertation, Clemson University. Accessed July 13, 2020. https://tigerprints.clemson.edu/all_dissertations/2592.

MLA Handbook (7th Edition):

Sybrandt, Justin George. “Exploiting Latent Features of Text and Graphs.” 2020. Web. 13 Jul 2020.

Vancouver:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Internet] [Doctoral dissertation]. Clemson University; 2020. [cited 2020 Jul 13]. Available from: https://tigerprints.clemson.edu/all_dissertations/2592.

Council of Science Editors:

Sybrandt JG. Exploiting Latent Features of Text and Graphs. [Doctoral Dissertation]. Clemson University; 2020. Available from: https://tigerprints.clemson.edu/all_dissertations/2592


University of Washington

2. Henner, Kevin. Enriching Scientific Paper Embeddings with Citation Context.

Degree: 2020, University of Washington

 Amid profusion of scientific literature, methods to organize and search available papers are quite valuable. Embedded representations of papers have potential to be used as… (more)

Subjects/Keywords: bibliometrics; network embedding; scientometrics; text embedding; Linguistics; Computer science; Information science; Linguistics

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

APA (6th Edition):

Henner, K. (2020). Enriching Scientific Paper Embeddings with Citation Context. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/45219

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):

Henner, Kevin. “Enriching Scientific Paper Embeddings with Citation Context.” 2020. Thesis, University of Washington. Accessed July 13, 2020. http://hdl.handle.net/1773/45219.

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

MLA Handbook (7th Edition):

Henner, Kevin. “Enriching Scientific Paper Embeddings with Citation Context.” 2020. Web. 13 Jul 2020.

Vancouver:

Henner K. Enriching Scientific Paper Embeddings with Citation Context. [Internet] [Thesis]. University of Washington; 2020. [cited 2020 Jul 13]. Available from: http://hdl.handle.net/1773/45219.

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

Council of Science Editors:

Henner K. Enriching Scientific Paper Embeddings with Citation Context. [Thesis]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/45219

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


UCLA

3. Ren, Zhou. Joint Image-Text Representation Learning.

Degree: Computer Science, 2016, UCLA

 It was a dream to make computers intelligent. Like humans who are capable of understanding information of multiple modalities such as video, text, audio, etc.,… (more)

Subjects/Keywords: Computer science; Joint image-text representation; Visual-Semantic Embedding

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APA (6th Edition):

Ren, Z. (2016). Joint Image-Text Representation Learning. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/66f282s6

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):

Ren, Zhou. “Joint Image-Text Representation Learning.” 2016. Thesis, UCLA. Accessed July 13, 2020. http://www.escholarship.org/uc/item/66f282s6.

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

MLA Handbook (7th Edition):

Ren, Zhou. “Joint Image-Text Representation Learning.” 2016. Web. 13 Jul 2020.

Vancouver:

Ren Z. Joint Image-Text Representation Learning. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Jul 13]. Available from: http://www.escholarship.org/uc/item/66f282s6.

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

Council of Science Editors:

Ren Z. Joint Image-Text Representation Learning. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/66f282s6

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


NSYSU

4. Chang, Chia-Chen. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.

Degree: Master, Information Management, 2018, NSYSU

 With the booming of social media, users generate a large number of texts, such as tweets, blogs, and comments, which are full of potential sentiment.… (more)

Subjects/Keywords: text mining; sentiment analysis; Chinese sentiment lexicon; word embedding; label propagation

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

APA (6th Edition):

Chang, C. (2018). The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855

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):

Chang, Chia-Chen. “The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.” 2018. Thesis, NSYSU. Accessed July 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855.

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

MLA Handbook (7th Edition):

Chang, Chia-Chen. “The Research of Constructing Domain-Specific Chinese Sentiment Lexicon.” 2018. Web. 13 Jul 2020.

Vancouver:

Chang C. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Jul 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855.

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

Council of Science Editors:

Chang C. The Research of Constructing Domain-Specific Chinese Sentiment Lexicon. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721118-153855

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


University of Ontario Institute of Technology

5. Kamkarhaghighi, Mehran. Global-local word embedding for text classification.

Degree: 2019, University of Ontario Institute of Technology

 Only humans can understand and comprehend the actual meaning that underlies natural written language, whereas machines can form semantic relationships only after humans have provided… (more)

Subjects/Keywords: Document representation; Word embedding; Text classification; Deep learning; Neural networks

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

APA (6th Edition):

Kamkarhaghighi, M. (2019). Global-local word embedding for text classification. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1030

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):

Kamkarhaghighi, Mehran. “Global-local word embedding for text classification.” 2019. Thesis, University of Ontario Institute of Technology. Accessed July 13, 2020. http://hdl.handle.net/10155/1030.

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

MLA Handbook (7th Edition):

Kamkarhaghighi, Mehran. “Global-local word embedding for text classification.” 2019. Web. 13 Jul 2020.

Vancouver:

Kamkarhaghighi M. Global-local word embedding for text classification. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2020 Jul 13]. Available from: http://hdl.handle.net/10155/1030.

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

Council of Science Editors:

Kamkarhaghighi M. Global-local word embedding for text classification. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1030

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


Uppsala University

6. 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 (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 July 13, 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. 13 Jul 2020.

Vancouver:

Wang RF. Semantic Text Matching Using Convolutional Neural Networks. [Internet] [Thesis]. Uppsala University; 2018. [cited 2020 Jul 13]. 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


Northeastern University

7. Xu, Shaobin. Modeling text embedded information cascades.

Degree: PhD, 2019, Northeastern University

 Networks mediate several aspects of society. For example, social networking services (SNS) like Twitter and Facebook have greatly helped people connect with families, friends and… (more)

Subjects/Keywords: Information networks; Data processing; Soft computing; Data processing; Neural networks (Computer science); Text data mining; natural language processing; network embedding; social network analysis; text reuse

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APA (6th Edition):

Xu, S. (2019). Modeling text embedded information cascades. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20328884

Chicago Manual of Style (16th Edition):

Xu, Shaobin. “Modeling text embedded information cascades.” 2019. Doctoral Dissertation, Northeastern University. Accessed July 13, 2020. http://hdl.handle.net/2047/D20328884.

MLA Handbook (7th Edition):

Xu, Shaobin. “Modeling text embedded information cascades.” 2019. Web. 13 Jul 2020.

Vancouver:

Xu S. Modeling text embedded information cascades. [Internet] [Doctoral dissertation]. Northeastern University; 2019. [cited 2020 Jul 13]. Available from: http://hdl.handle.net/2047/D20328884.

Council of Science Editors:

Xu S. Modeling text embedded information cascades. [Doctoral Dissertation]. Northeastern University; 2019. Available from: http://hdl.handle.net/2047/D20328884

8. Pečnik, Špela. Vpliv priprave nestrukturiranih podatkov na klasifikacijo.

Degree: 2019, Univerza v Mariboru

V vsakdanjem življenju se v večini primerov srečujemo z nestrukturiranimi podatki v obliki besedil iz različnih virov. Število teh iz dneva v dan narašča, zato… (more)

Subjects/Keywords: nestrukturirani podatki; klasifikacija besedil; vektorska predstavitev besedil; krnjenje; lematizacija; unstructured data; text classification; word embedding; stemming; lemmatization; info:eu-repo/classification/udc/004.94:004.83(043.2)

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APA (6th Edition):

Pečnik, . (2019). Vpliv priprave nestrukturiranih podatkov na klasifikacijo. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=73712 ; https://dk.um.si/Dokument.php?id=134369&dn= ; https://plus.si.cobiss.net/opac7/bib/22489366?lang=sl

Chicago Manual of Style (16th Edition):

Pečnik, Špela. “Vpliv priprave nestrukturiranih podatkov na klasifikacijo.” 2019. Masters Thesis, Univerza v Mariboru. Accessed July 13, 2020. https://dk.um.si/IzpisGradiva.php?id=73712 ; https://dk.um.si/Dokument.php?id=134369&dn= ; https://plus.si.cobiss.net/opac7/bib/22489366?lang=sl.

MLA Handbook (7th Edition):

Pečnik, Špela. “Vpliv priprave nestrukturiranih podatkov na klasifikacijo.” 2019. Web. 13 Jul 2020.

Vancouver:

Pečnik . Vpliv priprave nestrukturiranih podatkov na klasifikacijo. [Internet] [Masters thesis]. Univerza v Mariboru; 2019. [cited 2020 Jul 13]. Available from: https://dk.um.si/IzpisGradiva.php?id=73712 ; https://dk.um.si/Dokument.php?id=134369&dn= ; https://plus.si.cobiss.net/opac7/bib/22489366?lang=sl.

Council of Science Editors:

Pečnik . Vpliv priprave nestrukturiranih podatkov na klasifikacijo. [Masters Thesis]. Univerza v Mariboru; 2019. Available from: https://dk.um.si/IzpisGradiva.php?id=73712 ; https://dk.um.si/Dokument.php?id=134369&dn= ; https://plus.si.cobiss.net/opac7/bib/22489366?lang=sl


Linköping University

9. Gränsbo, Gustav. Word Clustering in an Interactive Text Analysis Tool.

Degree: Human-Centered systems, 2019, Linköping University

  A central operation of users of the text analysis tool Gavagai Explorer is to look through a list of words and arrange them in… (more)

Subjects/Keywords: word clustering; word embedding; distributional semantics; hierarchical clustering; text analytics; language technology; natural language processing; gavagai; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA (6th Edition):

Gränsbo, G. (2019). Word Clustering in an Interactive Text Analysis Tool. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157497

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):

Gränsbo, Gustav. “Word Clustering in an Interactive Text Analysis Tool.” 2019. Thesis, Linköping University. Accessed July 13, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157497.

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

MLA Handbook (7th Edition):

Gränsbo, Gustav. “Word Clustering in an Interactive Text Analysis Tool.” 2019. Web. 13 Jul 2020.

Vancouver:

Gränsbo G. Word Clustering in an Interactive Text Analysis Tool. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Jul 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157497.

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

Council of Science Editors:

Gränsbo G. Word Clustering in an Interactive Text Analysis Tool. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157497

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

10. Naïm, Jérémy. Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction.

Degree: Docteur es, Langue et littérature françaises, 2015, Sorbonne Paris Cité; Université de Lausanne

Le récit enchâssé émerge comme concept au début du XXe siècle, à la faveur des travaux formalistes sur le recueil de nouvelles. Il ne se… (more)

Subjects/Keywords: Récit enchâssé; Enchâssement narratif; Nouvelle; Conte; Littérature française du 19e siècle; Honoré de Balzac; Guy de Maupassant; Narratologie; Linguistique textuelle; Stylistique; Embedded story; Narrative embedding; Short story; Tale; 19th century French fiction; Honoré de Balzac; Guy de Maupassant; Narratology; Text linguistics; Stylistics; 840.9008; 840.9007

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APA (6th Edition):

Naïm, J. (2015). Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction. (Doctoral Dissertation). Sorbonne Paris Cité; Université de Lausanne. Retrieved from http://www.theses.fr/2015USPCA127

Chicago Manual of Style (16th Edition):

Naïm, Jérémy. “Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction.” 2015. Doctoral Dissertation, Sorbonne Paris Cité; Université de Lausanne. Accessed July 13, 2020. http://www.theses.fr/2015USPCA127.

MLA Handbook (7th Edition):

Naïm, Jérémy. “Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction.” 2015. Web. 13 Jul 2020.

Vancouver:

Naïm J. Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction. [Internet] [Doctoral dissertation]. Sorbonne Paris Cité; Université de Lausanne; 2015. [cited 2020 Jul 13]. Available from: http://www.theses.fr/2015USPCA127.

Council of Science Editors:

Naïm J. Le Récit enchâssé, ou la mise en relief narrative au XIXe siècle : Narrative Embedding, Narrative Enhancing. A Study in 19th Century French Fiction. [Doctoral Dissertation]. Sorbonne Paris Cité; Université de Lausanne; 2015. Available from: http://www.theses.fr/2015USPCA127

11. Liu, Jialu. Constructing and modeling text-rich information networks: a phrase mining-based approach.

Degree: PhD, Computer Science, 2016, University of Illinois – Urbana-Champaign

 A lot of digital ink has been spilled on "big data" over the past few years, which is often characterized by an explosion of information.… (more)

Subjects/Keywords: Text-Rich Information Networks; Phrase Mining; Heterogeneous Information Network; Network Embedding; Keyphrase Extraction

…tasks. That is, 6 Problem 1.3: Text-Rich Information Network Embedding Given a text-rich… …Observing the trend in text embedding, researchers have proposed work to embed largescale… …1 1 3 7 Chapter 2 Literature Review . . . . . . . . . . . . . . . 2.1 Constructing Text… …Rich Information Network . . . . . . 2.2 Modeling Text-Rich Information Network… …2.5 Keyphrase Extraction . . . . . . . . . . . . . . . . . . . 2.6 Network Embedding… 

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

APA (6th Edition):

Liu, J. (2016). Constructing and modeling text-rich information networks: a phrase mining-based approach. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92777

Chicago Manual of Style (16th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 13, 2020. http://hdl.handle.net/2142/92777.

MLA Handbook (7th Edition):

Liu, Jialu. “Constructing and modeling text-rich information networks: a phrase mining-based approach.” 2016. Web. 13 Jul 2020.

Vancouver:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Jul 13]. Available from: http://hdl.handle.net/2142/92777.

Council of Science Editors:

Liu J. Constructing and modeling text-rich information networks: a phrase mining-based approach. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92777

12. Suta, Adin. Multilabel text classification of public procurements using deep learning intent detection.

Degree: Mathematical Statistics, 2019, KTH

Textual data is one of the most widespread forms of data and the amount of such data available in the world increases at a… (more)

Subjects/Keywords: Natural language processing; text classification; deep learning; applied mathematics; recurrent neural network; word embedding; Maskininlärning; textklassificering; artificiella neruonnät; tillämpad matematik; Probability Theory and Statistics; Sannolikhetsteori och statistik

…2.2 Word embedding . . . . . . . . . . . . . . . 2.2.1 Word embedding from n-grams . . . 2.3… …beginning of the first written text, we are accumulating more and more information over time which… …analyzing large amounts natural language data. In many industries, effective automated text… …assisting humans in such tasks or perhaps some day completely replacing text classification tasks… …which rely on human analysis. Recently, state of the art text classification algorithms has… 

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APA (6th Edition):

Suta, A. (2019). Multilabel text classification of public procurements using deep learning intent detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558

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):

Suta, Adin. “Multilabel text classification of public procurements using deep learning intent detection.” 2019. Thesis, KTH. Accessed July 13, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558.

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

MLA Handbook (7th Edition):

Suta, Adin. “Multilabel text classification of public procurements using deep learning intent detection.” 2019. Web. 13 Jul 2020.

Vancouver:

Suta A. Multilabel text classification of public procurements using deep learning intent detection. [Internet] [Thesis]. KTH; 2019. [cited 2020 Jul 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558.

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

Council of Science Editors:

Suta A. Multilabel text classification of public procurements using deep learning intent detection. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252558

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

13. Lipecki, Johan. The Effect of Data Quantity on Dialog System Input Classification Models.

Degree: Health Informatics and Logistics, 2018, KTH

This paper researches how different amounts of data affect different word vector models for classification of dialog system user input. A hypothesis is tested… (more)

Subjects/Keywords: Chatbot; Chatterbot; Virtual Assistant; Dialog System; Natural Language Understanding; Word Embedding; Word Vector Models; Text Classification; Chattbot; Virtuell Assistent; Dialogsystem; Naturlig språkbehandling; Ordinbäddning; Ordvektormodeller; Textklassificering; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

…for text representation is perhaps the most straightforward word embedding. It ignores word… …Score 5 2.1.2 Efficiency is not Everything 7 2.2 Understanding Text 8 2.2.1 Intents… …Supervised Machine Learning and Text Classification 12 2.2.4 Two or More Classes 16 2.2.5… …of 2018, Telenor customer services were available via phone, email, online free text forms… …text data which, for the purpose of information extraction, were used to train language… 

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APA (6th Edition):

Lipecki, J. (2018). The Effect of Data Quantity on Dialog System Input Classification Models. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282

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):

Lipecki, Johan. “The Effect of Data Quantity on Dialog System Input Classification Models.” 2018. Thesis, KTH. Accessed July 13, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282.

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

MLA Handbook (7th Edition):

Lipecki, Johan. “The Effect of Data Quantity on Dialog System Input Classification Models.” 2018. Web. 13 Jul 2020.

Vancouver:

Lipecki J. The Effect of Data Quantity on Dialog System Input Classification Models. [Internet] [Thesis]. KTH; 2018. [cited 2020 Jul 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282.

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

Council of Science Editors:

Lipecki J. The Effect of Data Quantity on Dialog System Input Classification Models. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282

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

.