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You searched for subject:(latent dirichlet allocation). Showing records 1 – 30 of 83 total matches.

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University of North Texas

1. Anaya, Leticia H. Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers.

Degree: 2011, University of North Texas

 In the Information Age, a proliferation of unstructured text electronic documents exists. Processing these documents by humans is a daunting task as humans have limited… (more)

Subjects/Keywords: Latent Dirichlet allocation; latent semantic analysis; classifiers

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APA (6th Edition):

Anaya, L. H. (2011). Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc103284/

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):

Anaya, Leticia H. “Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers.” 2011. Thesis, University of North Texas. Accessed October 01, 2020. https://digital.library.unt.edu/ark:/67531/metadc103284/.

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

MLA Handbook (7th Edition):

Anaya, Leticia H. “Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers.” 2011. Web. 01 Oct 2020.

Vancouver:

Anaya LH. Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Oct 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc103284/.

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

Council of Science Editors:

Anaya LH. Comparing Latent Dirichlet Allocation and Latent Semantic Analysis as Classifiers. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc103284/

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


Tampere University

2. Chen, Ruiqi. Automatic keyphrase extraction on Amazon reviews .

Degree: 2018, Tampere University

 People are facing severe challenges posed by big data. As an important type of the online text, product reviews have evoked much research interest because… (more)

Subjects/Keywords: review mining; keyphrase extraction; Latent Dirichlet Allocation

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APA (6th Edition):

Chen, R. (2018). Automatic keyphrase extraction on Amazon reviews . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/104064

Chicago Manual of Style (16th Edition):

Chen, Ruiqi. “Automatic keyphrase extraction on Amazon reviews .” 2018. Masters Thesis, Tampere University. Accessed October 01, 2020. https://trepo.tuni.fi/handle/10024/104064.

MLA Handbook (7th Edition):

Chen, Ruiqi. “Automatic keyphrase extraction on Amazon reviews .” 2018. Web. 01 Oct 2020.

Vancouver:

Chen R. Automatic keyphrase extraction on Amazon reviews . [Internet] [Masters thesis]. Tampere University; 2018. [cited 2020 Oct 01]. Available from: https://trepo.tuni.fi/handle/10024/104064.

Council of Science Editors:

Chen R. Automatic keyphrase extraction on Amazon reviews . [Masters Thesis]. Tampere University; 2018. Available from: https://trepo.tuni.fi/handle/10024/104064


Kansas State University

3. Patel, Virashree Hrushikesh. Topic modeling using latent dirichlet allocation on disaster tweets.

Degree: MS, Department of Computer Science, 2018, Kansas State University

 Social media has changed the way people communicate information. It has been noted that social media platforms like Twitter are increasingly being used by people… (more)

Subjects/Keywords: topic modeling; twitter; latent dirichlet allocation; LDA

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APA (6th Edition):

Patel, V. H. (2018). Topic modeling using latent dirichlet allocation on disaster tweets. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/39337

Chicago Manual of Style (16th Edition):

Patel, Virashree Hrushikesh. “Topic modeling using latent dirichlet allocation on disaster tweets.” 2018. Masters Thesis, Kansas State University. Accessed October 01, 2020. http://hdl.handle.net/2097/39337.

MLA Handbook (7th Edition):

Patel, Virashree Hrushikesh. “Topic modeling using latent dirichlet allocation on disaster tweets.” 2018. Web. 01 Oct 2020.

Vancouver:

Patel VH. Topic modeling using latent dirichlet allocation on disaster tweets. [Internet] [Masters thesis]. Kansas State University; 2018. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2097/39337.

Council of Science Editors:

Patel VH. Topic modeling using latent dirichlet allocation on disaster tweets. [Masters Thesis]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39337


The Ohio State University

4. Schenk, Jason Robert. Meta-uncertainty and resilience with applications in intelligence analysis.

Degree: PhD, Industrial and Systems Engineering, 2008, The Ohio State University

 Uncertainty plays a major and inevitable role in human decision-making. Meta-uncertainty about the uncertainty can also be important but it is generally less studied. Such… (more)

Subjects/Keywords: Latent Dirichlet Allocation; prediction interval; stress-strain; consequence-likelihood

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APA (6th Edition):

Schenk, J. R. (2008). Meta-uncertainty and resilience with applications in intelligence analysis. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269

Chicago Manual of Style (16th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Doctoral Dissertation, The Ohio State University. Accessed October 01, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

MLA Handbook (7th Edition):

Schenk, Jason Robert. “Meta-uncertainty and resilience with applications in intelligence analysis.” 2008. Web. 01 Oct 2020.

Vancouver:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Oct 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269.

Council of Science Editors:

Schenk JR. Meta-uncertainty and resilience with applications in intelligence analysis. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1199129269


NSYSU

5. Chiang , Chia-Che. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.

Degree: Master, Information Management, 2014, NSYSU

 The advance of user-generated content (UGC) inspires knowledge sharing among Internet users. A good example is the well-known travel site TripAdvisor.com, which enables users to… (more)

Subjects/Keywords: Latent Dirichlet allocation; Text classification; Word-sense disambiguation; SVM; WordNet

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APA (6th Edition):

Chiang , C. (2014). Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606

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):

Chiang , Chia-Che. “Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.” 2014. Thesis, NSYSU. Accessed October 01, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606.

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

MLA Handbook (7th Edition):

Chiang , Chia-Che. “Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums.” 2014. Web. 01 Oct 2020.

Vancouver:

Chiang C. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Oct 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606.

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

Council of Science Editors:

Chiang C. Use Text Mining Techniques to Identify Noteworthy Hotel Reviews from Travel Forums. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0819114-155606

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


NSYSU

6. Chen , Yu-Siang. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.

Degree: Master, Information Management, 2014, NSYSU

 Most literature database systems use content-based technique to retrieve articles to users. However, the content-based technique relies on exact keywords provided by users to search… (more)

Subjects/Keywords: recommender system; topic model; latent Dirichlet allocation; coauthorship network; academic literature

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APA (6th Edition):

Chen , Y. (2014). Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606

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 , Yu-Siang. “Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.” 2014. Thesis, NSYSU. Accessed October 01, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606.

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

MLA Handbook (7th Edition):

Chen , Yu-Siang. “Integrating Topic Model into Co-authorship Network for Recommending Academic Literature.” 2014. Web. 01 Oct 2020.

Vancouver:

Chen Y. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. [Internet] [Thesis]. NSYSU; 2014. [cited 2020 Oct 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606.

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

Council of Science Editors:

Chen Y. Integrating Topic Model into Co-authorship Network for Recommending Academic Literature. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526114-172606

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


Open Universiteit Nederland

7. Willems, John. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .

Degree: 2014, Open Universiteit Nederland

 Studies have shown that topic modeling with Latent Dirichlet Allocation (LDA) is a useful (semi-)unsupervised technique to reveal information about a software system that was… (more)

Subjects/Keywords: Latent Dirichlet Allocation; Topic Modeling; Rascal; Metrics; source code

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APA (6th Edition):

Willems, J. (2014). Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/5350

Chicago Manual of Style (16th Edition):

Willems, John. “Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .” 2014. Masters Thesis, Open Universiteit Nederland. Accessed October 01, 2020. http://hdl.handle.net/1820/5350.

MLA Handbook (7th Edition):

Willems, John. “Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling .” 2014. Web. 01 Oct 2020.

Vancouver:

Willems J. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . [Internet] [Masters thesis]. Open Universiteit Nederland; 2014. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1820/5350.

Council of Science Editors:

Willems J. Comparison of Data Preprocessing Techniques on Software Sources for Topic Modeling . [Masters Thesis]. Open Universiteit Nederland; 2014. Available from: http://hdl.handle.net/1820/5350


Universidade Nova

8. Kolbert, András Péter. A scalable recommender system : using latent topics and alternating least squares techniques.

Degree: 2018, Universidade Nova

 A recommender system is one of the major techniques that handles information overload problem of Information Retrieval. Improves access and proactively recommends relevant information to… (more)

Subjects/Keywords: Job recommendation; Matrix factorisation; Alternating least squares; Latent dirichlet allocation; Scalable

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APA (6th Edition):

Kolbert, A. P. (2018). A scalable recommender system : using latent topics and alternating least squares techniques. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/34383

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):

Kolbert, András Péter. “A scalable recommender system : using latent topics and alternating least squares techniques.” 2018. Thesis, Universidade Nova. Accessed October 01, 2020. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/34383.

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

MLA Handbook (7th Edition):

Kolbert, András Péter. “A scalable recommender system : using latent topics and alternating least squares techniques.” 2018. Web. 01 Oct 2020.

Vancouver:

Kolbert AP. A scalable recommender system : using latent topics and alternating least squares techniques. [Internet] [Thesis]. Universidade Nova; 2018. [cited 2020 Oct 01]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/34383.

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

Council of Science Editors:

Kolbert AP. A scalable recommender system : using latent topics and alternating least squares techniques. [Thesis]. Universidade Nova; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/34383

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


University of Texas – Austin

9. -7421-5165. Topic modeling via scatter/gather clustering.

Degree: MSin Engineering, Electrical and Computer Engineering, 2015, University of Texas – Austin

Latent variable models such as Latent Dirichlet Allocation provide rich tools for analyzing large document corpora. They can uncover a wide range of hidden information… (more)

Subjects/Keywords: Topic model; Scatter; Gather; Clustering; Browsing; Latent dirichlet allocation

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APA (6th Edition):

-7421-5165. (2015). Topic modeling via scatter/gather clustering. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32316

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7421-5165. “Topic modeling via scatter/gather clustering.” 2015. Masters Thesis, University of Texas – Austin. Accessed October 01, 2020. http://hdl.handle.net/2152/32316.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7421-5165. “Topic modeling via scatter/gather clustering.” 2015. Web. 01 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7421-5165. Topic modeling via scatter/gather clustering. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2152/32316.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7421-5165. Topic modeling via scatter/gather clustering. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32316

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


KTH

10. Jaradat, Shatha. OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM.

Degree: Information and Communication Technology (ICT), 2015, KTH

Providing high quality of topics inference in today's large and dynamic corpora, such as Twitter, is a challenging task. This is especially challenging taking… (more)

Subjects/Keywords: Latent Dirichlet Allocation; Labeled Latent Dirichlet Allocation; online Variational Bayes for LDA; multi-labeled; supervised; Twitter; recommendations; variational inference.; Latent Dirichlet Allocation; Labeled Latent Dirichlet Allocation; online Variational Bayes for LDA; multi-labeled; supervised; Twitter; recommendations; variational inference.; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Jaradat, S. (2015). OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535

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):

Jaradat, Shatha. “OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM.” 2015. Thesis, KTH. Accessed October 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535.

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

MLA Handbook (7th Edition):

Jaradat, Shatha. “OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM.” 2015. Web. 01 Oct 2020.

Vancouver:

Jaradat S. OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM. [Internet] [Thesis]. KTH; 2015. [cited 2020 Oct 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535.

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

Council of Science Editors:

Jaradat S. OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535

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


Kansas State University

11. Choubey, Rahul. Tag recommendation using Latent Dirichlet Allocation.

Degree: MS, Department of Computing and Information Sciences, 2011, Kansas State University

 The vast amount of data present on the internet calls for ways to label and organize this data according to specific categories, in order to… (more)

Subjects/Keywords: Tag Recommendation; Latent Dirichlet Allocation; Computer Science (0984)

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APA (6th Edition):

Choubey, R. (2011). Tag recommendation using Latent Dirichlet Allocation. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/9785

Chicago Manual of Style (16th Edition):

Choubey, Rahul. “Tag recommendation using Latent Dirichlet Allocation.” 2011. Masters Thesis, Kansas State University. Accessed October 01, 2020. http://hdl.handle.net/2097/9785.

MLA Handbook (7th Edition):

Choubey, Rahul. “Tag recommendation using Latent Dirichlet Allocation.” 2011. Web. 01 Oct 2020.

Vancouver:

Choubey R. Tag recommendation using Latent Dirichlet Allocation. [Internet] [Masters thesis]. Kansas State University; 2011. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/2097/9785.

Council of Science Editors:

Choubey R. Tag recommendation using Latent Dirichlet Allocation. [Masters Thesis]. Kansas State University; 2011. Available from: http://hdl.handle.net/2097/9785


University of California – Irvine

12. Foulds, James Richard. Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques.

Degree: Computer Science, 2014, University of California – Irvine

 In the era of the internet, we are connected to an overwhelming abundance of information. As more facets of our lives become digitized, there is… (more)

Subjects/Keywords: Computer science; Statistics; latent Dirichlet allocation; latent variable models; machine learning; social networks; text mining

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APA (6th Edition):

Foulds, J. R. (2014). Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7ph113pf

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):

Foulds, James Richard. “Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques.” 2014. Thesis, University of California – Irvine. Accessed October 01, 2020. http://www.escholarship.org/uc/item/7ph113pf.

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

MLA Handbook (7th Edition):

Foulds, James Richard. “Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques.” 2014. Web. 01 Oct 2020.

Vancouver:

Foulds JR. Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2020 Oct 01]. Available from: http://www.escholarship.org/uc/item/7ph113pf.

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

Council of Science Editors:

Foulds JR. Latent Variable Modeling for Networks and Text: Algorithms, Models and Evaluation Techniques. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/7ph113pf

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

13. Morchid, Mohamed. Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces.

Degree: Docteur es, Sciences et agrosciences, 2014, Avignon

 En recherche d’information, les documents sont le plus souvent considérés comme des "sacs-de-mots". Ce modèle ne tient pas compte de la structure temporelle du document… (more)

Subjects/Keywords: Représentation robuste; Document bruité; Analyse latente de Dirichlet; Allocation latente de Dirichlet; Multivues; Analyse factorielle; Quaternion; Robust representation; Noisy document; Latent Dirichlet allocation; Multi-views; Factor analysis; Quaternion; 06.454

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APA (6th Edition):

Morchid, M. (2014). Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces. (Doctoral Dissertation). Avignon. Retrieved from http://www.theses.fr/2014AVIG0202

Chicago Manual of Style (16th Edition):

Morchid, Mohamed. “Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces.” 2014. Doctoral Dissertation, Avignon. Accessed October 01, 2020. http://www.theses.fr/2014AVIG0202.

MLA Handbook (7th Edition):

Morchid, Mohamed. “Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces.” 2014. Web. 01 Oct 2020.

Vancouver:

Morchid M. Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces. [Internet] [Doctoral dissertation]. Avignon; 2014. [cited 2020 Oct 01]. Available from: http://www.theses.fr/2014AVIG0202.

Council of Science Editors:

Morchid M. Représentations robustes de documents bruités dans des espaces homogènes : Robust representation of noisy documents in homogeneous spaces. [Doctoral Dissertation]. Avignon; 2014. Available from: http://www.theses.fr/2014AVIG0202


UCLA

14. Gao, Mei. Application of machine learning techniques to recommendation system.

Degree: Statistics, 2015, UCLA

 In this paper, I applied several machine learning techniques, including Latent Dirichlet allocation (LDA), deep Convolutional Neural Networks (CNN) as well as Ranking SVM to… (more)

Subjects/Keywords: Statistics; Convolutional Neural Networks; Latent Dirichlet allocation; machine learning; NDPM; Ranking SVM; recommendation system

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APA (6th Edition):

Gao, M. (2015). Application of machine learning techniques to recommendation system. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/7nx5v44k

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):

Gao, Mei. “Application of machine learning techniques to recommendation system.” 2015. Thesis, UCLA. Accessed October 01, 2020. http://www.escholarship.org/uc/item/7nx5v44k.

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

MLA Handbook (7th Edition):

Gao, Mei. “Application of machine learning techniques to recommendation system.” 2015. Web. 01 Oct 2020.

Vancouver:

Gao M. Application of machine learning techniques to recommendation system. [Internet] [Thesis]. UCLA; 2015. [cited 2020 Oct 01]. Available from: http://www.escholarship.org/uc/item/7nx5v44k.

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

Council of Science Editors:

Gao M. Application of machine learning techniques to recommendation system. [Thesis]. UCLA; 2015. Available from: http://www.escholarship.org/uc/item/7nx5v44k

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


Cornell University

15. SCHOFIELD, ALEXANDRA K. Text Processing for the Effective Application of Latent Dirichlet Allocation.

Degree: PhD, Computer Science, 2019, Cornell University

 Distributional semantic models such as LDA (Blei et al., 2003) are a powerful method to extract patterns of word co-occurrences for exploration of a textual… (more)

Subjects/Keywords: Differential Privacy; Artificial intelligence; Bayesian Poisson factorization; latent Dirichlet allocation; stemmers; stopwords; topic models

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

APA (6th Edition):

SCHOFIELD, A. K. (2019). Text Processing for the Effective Application of Latent Dirichlet Allocation. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/67305

Chicago Manual of Style (16th Edition):

SCHOFIELD, ALEXANDRA K. “Text Processing for the Effective Application of Latent Dirichlet Allocation.” 2019. Doctoral Dissertation, Cornell University. Accessed October 01, 2020. http://hdl.handle.net/1813/67305.

MLA Handbook (7th Edition):

SCHOFIELD, ALEXANDRA K. “Text Processing for the Effective Application of Latent Dirichlet Allocation.” 2019. Web. 01 Oct 2020.

Vancouver:

SCHOFIELD AK. Text Processing for the Effective Application of Latent Dirichlet Allocation. [Internet] [Doctoral dissertation]. Cornell University; 2019. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1813/67305.

Council of Science Editors:

SCHOFIELD AK. Text Processing for the Effective Application of Latent Dirichlet Allocation. [Doctoral Dissertation]. Cornell University; 2019. Available from: http://hdl.handle.net/1813/67305


University of Guelph

16. Callaghan, Liam. An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks.

Degree: MS, Department of Mathematics and Statistics, 2013, University of Guelph

 There may be several mechanisms that drive observed interactions between plants and pollinators in an ecosystem, many of which may involve trait matching or trait… (more)

Subjects/Keywords: pollination network; latent Dirichlet allocation; linkage rules; perplexity; model selection; BIC; AIC; DIC

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

APA (6th Edition):

Callaghan, L. (2013). An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5252

Chicago Manual of Style (16th Edition):

Callaghan, Liam. “An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks.” 2013. Masters Thesis, University of Guelph. Accessed October 01, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5252.

MLA Handbook (7th Edition):

Callaghan, Liam. “An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks.” 2013. Web. 01 Oct 2020.

Vancouver:

Callaghan L. An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks. [Internet] [Masters thesis]. University of Guelph; 2013. [cited 2020 Oct 01]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5252.

Council of Science Editors:

Callaghan L. An evaluation of latent Dirichlet allocation in the context of plant-pollinator networks. [Masters Thesis]. University of Guelph; 2013. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/5252


NSYSU

17. Wu, Chuan-Yi. LDA-based Group Recommendation on Documents.

Degree: Master, Information Management, 2013, NSYSU

 With the emergence of Internet, there is more and more information disseminating all over this channel. The abundant amount of information, however, causes difficulty for… (more)

Subjects/Keywords: collaborative filtering; group recommendation; content-based filtering; recommender systems; latent Dirichlet allocation; hidden topic analysis

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

APA (6th Edition):

Wu, C. (2013). LDA-based Group Recommendation on Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Thesis, NSYSU. Accessed October 01, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

MLA Handbook (7th Edition):

Wu, Chuan-Yi. “LDA-based Group Recommendation on Documents.” 2013. Web. 01 Oct 2020.

Vancouver:

Wu C. LDA-based Group Recommendation on Documents. [Internet] [Thesis]. NSYSU; 2013. [cited 2020 Oct 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016.

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

Council of Science Editors:

Wu C. LDA-based Group Recommendation on Documents. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0801113-141016

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


NSYSU

18. Chen, Li-Zen. Personalized Document Recommendation by Latent Dirichlet Allocation.

Degree: Master, Information Management, 2012, NSYSU

 Accompanying with the rapid growth of Internet, people around the world can easily distribute, browse, and share as much information as possible through the Internet.… (more)

Subjects/Keywords: recommender systems; collaborative filtering; hidden topic analysis; latent Dirichlet allocation; content-based filtering

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

APA (6th Edition):

Chen, L. (2012). Personalized Document Recommendation by Latent Dirichlet Allocation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Thesis, NSYSU. Accessed October 01, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

MLA Handbook (7th Edition):

Chen, Li-Zen. “Personalized Document Recommendation by Latent Dirichlet Allocation.” 2012. Web. 01 Oct 2020.

Vancouver:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Oct 01]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905.

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

Council of Science Editors:

Chen L. Personalized Document Recommendation by Latent Dirichlet Allocation. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0813112-201905

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


University of Illinois – Chicago

19. Wang, Jing. Two Applications of Topic Models.

Degree: 2015, University of Illinois – Chicago

 Topic modeling algorithms promise to uncover the underlying semantics of large collections of documents, serving as an effective tool to help discover online knowledge. In… (more)

Subjects/Keywords: topic modeling algorithm; Latent Dirichlet Allocation; diversionary comments; word sense induction; sense-topic model

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APA (6th Edition):

Wang, J. (2015). Two Applications of Topic Models. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19667

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, Jing. “Two Applications of Topic Models.” 2015. Thesis, University of Illinois – Chicago. Accessed October 01, 2020. http://hdl.handle.net/10027/19667.

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

MLA Handbook (7th Edition):

Wang, Jing. “Two Applications of Topic Models.” 2015. Web. 01 Oct 2020.

Vancouver:

Wang J. Two Applications of Topic Models. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10027/19667.

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

Council of Science Editors:

Wang J. Two Applications of Topic Models. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19667

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


Universidad de Chile

20. Muñoz Cancino, Ricardo Luis. Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos.

Degree: 2013, Universidad de Chile

 Los sitios de redes sociales virtuales han tenido un enorme crecimiento en la última década. Su principal objetivo es facilitar la creación de vínculos entre… (more)

Subjects/Keywords: Redes sociales; Algoritmos computacionales; Minería de datos; Comunidad virtual; Latent dirichlet allocation

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

APA (6th Edition):

Muñoz Cancino, R. L. (2013). Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos. (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/handle/2250/112582

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):

Muñoz Cancino, Ricardo Luis. “Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos.” 2013. Thesis, Universidad de Chile. Accessed October 01, 2020. http://repositorio.uchile.cl/handle/2250/112582.

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

MLA Handbook (7th Edition):

Muñoz Cancino, Ricardo Luis. “Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos.” 2013. Web. 01 Oct 2020.

Vancouver:

Muñoz Cancino RL. Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos. [Internet] [Thesis]. Universidad de Chile; 2013. [cited 2020 Oct 01]. Available from: http://repositorio.uchile.cl/handle/2250/112582.

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

Council of Science Editors:

Muñoz Cancino RL. Diseño, desarrollo y evaluación de un algoritmo para detectar sub-comunidades traslapadas usando análisis de redes sociales y minería de datos. [Thesis]. Universidad de Chile; 2013. Available from: http://repositorio.uchile.cl/handle/2250/112582

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


George Mason University

21. Ramanathan, Venkatesh. Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion .

Degree: 2012, George Mason University

 This thesis addresses digital identity for biometric / face recognition screening and cyberspace security subject to denial and deception characteristic of adversarial behavior. The adversarial… (more)

Subjects/Keywords: Computer science; Conditional Random Field; Correlation Filters; Face Recognition; Latent Dirichlet Allocation; Named Entities; Phishing

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

APA (6th Edition):

Ramanathan, V. (2012). Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/8075

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):

Ramanathan, Venkatesh. “Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion .” 2012. Thesis, George Mason University. Accessed October 01, 2020. http://hdl.handle.net/1920/8075.

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

MLA Handbook (7th Edition):

Ramanathan, Venkatesh. “Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion .” 2012. Web. 01 Oct 2020.

Vancouver:

Ramanathan V. Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion . [Internet] [Thesis]. George Mason University; 2012. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/1920/8075.

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

Council of Science Editors:

Ramanathan V. Adversarial Face Recognition and Phishing Detection Using Multi-Layer Data Fusion . [Thesis]. George Mason University; 2012. Available from: http://hdl.handle.net/1920/8075

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


Delft University of Technology

22. Koks, Iris (author). Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.

Degree: 2019, Delft University of Technology

In today's digital world, customers give their opinions on a product that they have purchased online in the form of reviews. The industry is interested… (more)

Subjects/Keywords: Latent Dirichlet Allocation; Topic modelling; Sentiment analysis; Review analysis; Opinion Mining; Hierarchical Bayesian inference

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

APA (6th Edition):

Koks, I. (. (2019). Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e

Chicago Manual of Style (16th Edition):

Koks, Iris (author). “Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.” 2019. Masters Thesis, Delft University of Technology. Accessed October 01, 2020. http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e.

MLA Handbook (7th Edition):

Koks, Iris (author). “Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence.” 2019. Web. 01 Oct 2020.

Vancouver:

Koks I(. Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Oct 01]. Available from: http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e.

Council of Science Editors:

Koks I(. Latent Dirichlet Allocation: Explained and improved upon for applications in marketing intelligence. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:faa7cd3f-a946-4685-a36e-d01a15c4159e


Uppsala University

23. Hashimoto, Hikaru. Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling.

Degree: Linguistics and Philology, 2020, Uppsala University

  In this thesis, we discover the time trends in Swedish literature and characteristics of authors. We apply latent Dirichlet allocation (LDA), a method for… (more)

Subjects/Keywords: Swedish literature; topic modelling; LDA; latent Dirichlet allocation; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA (6th Edition):

Hashimoto, H. (2020). Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-404471

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):

Hashimoto, Hikaru. “Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling.” 2020. Thesis, Uppsala University. Accessed October 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-404471.

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

MLA Handbook (7th Edition):

Hashimoto, Hikaru. “Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling.” 2020. Web. 01 Oct 2020.

Vancouver:

Hashimoto H. Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling. [Internet] [Thesis]. Uppsala University; 2020. [cited 2020 Oct 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-404471.

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

Council of Science Editors:

Hashimoto H. Tracking the Time Trends of Swedish Literature and Finding Characteristics of Authors by Using Topic Modelling. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-404471

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


Duke University

24. Chai, Christine Peijinn. Statistical Issues in Quantifying Text Mining Performance .

Degree: 2017, Duke University

  Text mining is an emerging field in data science because text information is ubiquitous, but analyzing text data is much more complicated than analyzing… (more)

Subjects/Keywords: Statistics; Data cleaning; Latent Dirichlet allocation; N-gramming; Text mining; Topic modeling; Uncertainty

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

APA (6th Edition):

Chai, C. P. (2017). Statistical Issues in Quantifying Text Mining Performance . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14500

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):

Chai, Christine Peijinn. “Statistical Issues in Quantifying Text Mining Performance .” 2017. Thesis, Duke University. Accessed October 01, 2020. http://hdl.handle.net/10161/14500.

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

MLA Handbook (7th Edition):

Chai, Christine Peijinn. “Statistical Issues in Quantifying Text Mining Performance .” 2017. Web. 01 Oct 2020.

Vancouver:

Chai CP. Statistical Issues in Quantifying Text Mining Performance . [Internet] [Thesis]. Duke University; 2017. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10161/14500.

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

Council of Science Editors:

Chai CP. Statistical Issues in Quantifying Text Mining Performance . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14500

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


University of Georgia

25. Chandrupatla, Sindhuri. Truth or troll.

Degree: 2018, University of Georgia

 In the age of information, social media plays a vital role facilitating information flow. Unfortunately players with political agenda intervene and affect the information flow… (more)

Subjects/Keywords: Troll account identification; Twitter data analysis; Latent Dirichlet Allocation; Text Classification; Word2vec

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

APA (6th Edition):

Chandrupatla, S. (2018). Truth or troll. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38515

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):

Chandrupatla, Sindhuri. “Truth or troll.” 2018. Thesis, University of Georgia. Accessed October 01, 2020. http://hdl.handle.net/10724/38515.

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

MLA Handbook (7th Edition):

Chandrupatla, Sindhuri. “Truth or troll.” 2018. Web. 01 Oct 2020.

Vancouver:

Chandrupatla S. Truth or troll. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Oct 01]. Available from: http://hdl.handle.net/10724/38515.

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

Council of Science Editors:

Chandrupatla S. Truth or troll. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38515

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


Boise State University

26. Hudon, Stephanie Fern. Molecular Approaches for Analyzing Organismal and Environmental Interactions.

Degree: 2020, Boise State University

 Our planet is undergoing rapid change due to the expanding human population and climate change, which leads to extreme weather events and habitat loss. It… (more)

Subjects/Keywords: latent dirichlet allocation; microbiome; telomere; animal fitness; topic modeling; biodiversity; Molecular Genetics

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

APA (6th Edition):

Hudon, S. F. (2020). Molecular Approaches for Analyzing Organismal and Environmental Interactions. (Thesis). Boise State University. Retrieved from https://scholarworks.boisestate.edu/td/1705

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):

Hudon, Stephanie Fern. “Molecular Approaches for Analyzing Organismal and Environmental Interactions.” 2020. Thesis, Boise State University. Accessed October 01, 2020. https://scholarworks.boisestate.edu/td/1705.

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

MLA Handbook (7th Edition):

Hudon, Stephanie Fern. “Molecular Approaches for Analyzing Organismal and Environmental Interactions.” 2020. Web. 01 Oct 2020.

Vancouver:

Hudon SF. Molecular Approaches for Analyzing Organismal and Environmental Interactions. [Internet] [Thesis]. Boise State University; 2020. [cited 2020 Oct 01]. Available from: https://scholarworks.boisestate.edu/td/1705.

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

Council of Science Editors:

Hudon SF. Molecular Approaches for Analyzing Organismal and Environmental Interactions. [Thesis]. Boise State University; 2020. Available from: https://scholarworks.boisestate.edu/td/1705

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


Linköping University

27. Lindgren, Jennifer. Evaluating Hierarchical LDA Topic Models for Article Categorization.

Degree: Computer and Information Science, 2020, Linköping University

  With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software… (more)

Subjects/Keywords: topic modeling; topic models; lda; latent dirichlet allocation; hlda; hierarchical latent dirichlet allocation; constrained lda; constrained latent dirichlet allocation; news articles; categorization; machine learning; natural language processing; nlp; news recommendations; 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):

Lindgren, J. (2020). Evaluating Hierarchical LDA Topic Models for Article Categorization. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080

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):

Lindgren, Jennifer. “Evaluating Hierarchical LDA Topic Models for Article Categorization.” 2020. Thesis, Linköping University. Accessed October 01, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080.

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

MLA Handbook (7th Edition):

Lindgren, Jennifer. “Evaluating Hierarchical LDA Topic Models for Article Categorization.” 2020. Web. 01 Oct 2020.

Vancouver:

Lindgren J. Evaluating Hierarchical LDA Topic Models for Article Categorization. [Internet] [Thesis]. Linköping University; 2020. [cited 2020 Oct 01]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080.

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

Council of Science Editors:

Lindgren J. Evaluating Hierarchical LDA Topic Models for Article Categorization. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167080

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

28. Bui, Quang Vu. Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes.

Degree: Docteur es, Informatique, statistiques et cognition, 2018, Paris Sciences et Lettres (ComUE)

Les travaux de cette thèse présentent le développement d'algorithmes de classification de documents d'une part, ou d'analyse de réseaux complexes d'autre part, en s'appuyant sur… (more)

Subjects/Keywords: Prétopologie; Topic Modeling; Allocation de Dirichlet latente; Clustering de documents; Réseaux complexes; Diffusion de l'information; Pretopology; Topic Modeling; Latent Dirichlet Allocation; Document Clustering; Complex Networks; Information diffusion

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

APA (6th Edition):

Bui, Q. V. (2018). Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes. (Doctoral Dissertation). Paris Sciences et Lettres (ComUE). Retrieved from http://www.theses.fr/2018PSLEP034

Chicago Manual of Style (16th Edition):

Bui, Quang Vu. “Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes.” 2018. Doctoral Dissertation, Paris Sciences et Lettres (ComUE). Accessed October 01, 2020. http://www.theses.fr/2018PSLEP034.

MLA Handbook (7th Edition):

Bui, Quang Vu. “Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes.” 2018. Web. 01 Oct 2020.

Vancouver:

Bui QV. Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres (ComUE); 2018. [cited 2020 Oct 01]. Available from: http://www.theses.fr/2018PSLEP034.

Council of Science Editors:

Bui QV. Pretopology and Topic Modeling for Complex Systems Analysis : Application on Document Classification and Complex Network Analysis : Prétopologie et modélisation de sujets pour l'analyse de systèmes complexes : application à la classification de documents et à l'analyse de réseaux complexes. [Doctoral Dissertation]. Paris Sciences et Lettres (ComUE); 2018. Available from: http://www.theses.fr/2018PSLEP034


Wright State University

29. Yalamanchili, Hima Bindu. A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis.

Degree: PhD, Biomedical Sciences PhD, 2018, Wright State University

 Two challenging problems in the clinical study of cancer are the characterization of cancer subtypes and the classification of individual patients according to those subtypes.… (more)

Subjects/Keywords: Bioinformatics; Biomedical Research; cancer; cancer subtypes; cancer characterization; latent dirichlet allocation; disease-specific genomic analysis; genomic analysis

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

APA (6th Edition):

Yalamanchili, H. B. (2018). A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1527600876174758

Chicago Manual of Style (16th Edition):

Yalamanchili, Hima Bindu. “A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis.” 2018. Doctoral Dissertation, Wright State University. Accessed October 01, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1527600876174758.

MLA Handbook (7th Edition):

Yalamanchili, Hima Bindu. “A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis.” 2018. Web. 01 Oct 2020.

Vancouver:

Yalamanchili HB. A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis. [Internet] [Doctoral dissertation]. Wright State University; 2018. [cited 2020 Oct 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527600876174758.

Council of Science Editors:

Yalamanchili HB. A Novel Approach For Cancer Characterization Using Latent Dirichlet Allocation and Disease-Specific Genomic Analysis. [Doctoral Dissertation]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1527600876174758


Universidad de Chile

30. Nicolai Manaut, Francisco Ignacio. Sistema de análisis de tópicos para interacciones cliente-call center.

Degree: 2019, Universidad de Chile

 Actualmente vivimos en una era digital donde tanto la generación de datos como las capacidades computacionales evolucionan exponencialmente. Consecuentemente, muchos servicios nuevos surgen mientras que… (more)

Subjects/Keywords: Centros de atención telefónica; Procesamiento de textos (Ciencia de la computación); Reconocimiento de modelos; Lingüística computacional; Latent Dirichlet allocation

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

APA (6th Edition):

Nicolai Manaut, F. I. (2019). Sistema de análisis de tópicos para interacciones cliente-call center. (Thesis). Universidad de Chile. Retrieved from http://repositorio.uchile.cl/handle/2250/174906

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):

Nicolai Manaut, Francisco Ignacio. “Sistema de análisis de tópicos para interacciones cliente-call center.” 2019. Thesis, Universidad de Chile. Accessed October 01, 2020. http://repositorio.uchile.cl/handle/2250/174906.

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

MLA Handbook (7th Edition):

Nicolai Manaut, Francisco Ignacio. “Sistema de análisis de tópicos para interacciones cliente-call center.” 2019. Web. 01 Oct 2020.

Vancouver:

Nicolai Manaut FI. Sistema de análisis de tópicos para interacciones cliente-call center. [Internet] [Thesis]. Universidad de Chile; 2019. [cited 2020 Oct 01]. Available from: http://repositorio.uchile.cl/handle/2250/174906.

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

Council of Science Editors:

Nicolai Manaut FI. Sistema de análisis de tópicos para interacciones cliente-call center. [Thesis]. Universidad de Chile; 2019. Available from: http://repositorio.uchile.cl/handle/2250/174906

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

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