Topic model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Topic model" in English language version.

refsWebsite

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18doi.org

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8semanticscholar.org

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6nih.gov

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5arxiv.org

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2web.archive.org

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2worldcat.org

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2mlr.press

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1illinois.edu

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1berkeley.edu

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1brown.edu

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1mit.edu

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1iospress.com

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1proquest.com

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1ncl.edu.tw

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1richmond.edu

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1jmlr.org

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1acm.org

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1harvard.edu

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acm.org

cacm.acm.org

Blei, David M. (April 2012). "Introduction to Probabilistic Topic Models" (PDF). Comm. ACM. 55 (4): 77–84. doi:10.1145/2133806.2133826. S2CID 753304.

arxiv.org

Rosen-Zvi, Michal (2004). "The author-topic model for authors and documents". Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence: 487–494. arXiv:1207.4169.
Sanjeev Arora; Rong Ge; Ankur Moitra (April 2012). "Learning Topic Models—Going beyond SVD". arXiv:1204.1956 [cs.LG].
Xu, Weijie; Jiang, Xiaoyu; Sengamedu Hanumantha Rao, Srinivasan; Iannacci, Francis; Zhao, Jinjin (2023). "vONTSS: vMF based semi-supervised neural topic modeling with optimal transport". Findings of the Association for Computational Linguistics: ACL 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 4433–4457. arXiv:2307.01226. doi:10.18653/v1/2023.findings-acl.271.
Martin Gerlach; Tiago Pexioto; Eduardo Altmann (2018). "A network approach to topic models". Science Advances. 4 (7): eaaq1360. arXiv:1708.01677. Bibcode:2018SciA....4.1360G. doi:10.1126/sciadv.aaq1360. PMC 6051742. PMID 30035215.
Xu, Weijie; Hu, Wenxiang; Wu, Fanyou; Sengamedu, Srinivasan (2023). "DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM". Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 9040–9057. arXiv:2310.15296. doi:10.18653/v1/2023.findings-emnlp.606.

berkeley.edu

cs.berkeley.edu

Papadimitriou, Christos; Raghavan, Prabhakar; Tamaki, Hisao; Vempala, Santosh (1998). "Latent semantic indexing". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 159–168. doi:10.1145/275487.275505. ISBN 978-0897919968. S2CID 1479546. Archived from the original (Postscript) on 2013-05-09. Retrieved 2012-04-17.

brown.edu

cs.brown.edu

Hofmann, Thomas (1999). "Probabilistic Latent Semantic Indexing" (PDF). Proceedings of the Twenty-Second Annual International SIGIR Conference on Research and Development in Information Retrieval. Archived from the original (PDF) on 2010-12-14.

doi.org

Blei, David (April 2012). "Probabilistic Topic Models". Communications of the ACM. 55 (4): 77–84. doi:10.1145/2133806.2133826. S2CID 753304.
Papadimitriou, Christos; Raghavan, Prabhakar; Tamaki, Hisao; Vempala, Santosh (1998). "Latent semantic indexing". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 159–168. doi:10.1145/275487.275505. ISBN 978-0897919968. S2CID 1479546. Archived from the original (Postscript) on 2013-05-09. Retrieved 2012-04-17.
Blei, David M.; Ng, Andrew Y.; Jordan, Michael I; Lafferty, John (January 2003). "Latent Dirichlet allocation". Journal of Machine Learning Research. 3: 993–1022. doi:10.1162/jmlr.2003.3.4-5.993.
Lamba, Manika jun (2019). "Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study". Scientometrics. 120 (2): 477–505. doi:10.1007/s11192-019-03137-5. ISSN 0138-9130. S2CID 174802673.
Lamba, Manika jun (2019). "Metadata Tagging and Prediction Modeling: Case Study of DESIDOC Journal of Library and Information Technology (2008-2017)". World Digital Libraries. 12: 33–89. doi:10.18329/09757597/2019/12103 (inactive 31 January 2024). ISSN 0975-7597.{{cite journal}}: CS1 maint: DOI inactive as of January 2024 (link)
Yin, Zhijun (2011). "Geographical topic discovery and comparison". Proceedings of the 20th international conference on World wide web. pp. 247–256. doi:10.1145/1963405.1963443. ISBN 9781450306324. S2CID 17883132.
Nikolenko, Sergey (2017). "Topic modelling for qualitative studies". Journal of Information Science. 43: 88–102. doi:10.1177/0165551515617393. S2CID 30657489.
Reverter-Rambaldi, Marcel (2022). Topic Modelling in Spontaneous Speech Data (Honours thesis). Australian National University. doi:10.25911/M1YF-ZF55.
Blei, David M. (April 2012). "Introduction to Probabilistic Topic Models" (PDF). Comm. ACM. 55 (4): 77–84. doi:10.1145/2133806.2133826. S2CID 753304.
Xu, Weijie; Jiang, Xiaoyu; Sengamedu Hanumantha Rao, Srinivasan; Iannacci, Francis; Zhao, Jinjin (2023). "vONTSS: vMF based semi-supervised neural topic modeling with optimal transport". Findings of the Association for Computational Linguistics: ACL 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 4433–4457. arXiv:2307.01226. doi:10.18653/v1/2023.findings-acl.271.
Martin Gerlach; Tiago Pexioto; Eduardo Altmann (2018). "A network approach to topic models". Science Advances. 4 (7): eaaq1360. arXiv:1708.01677. Bibcode:2018SciA....4.1360G. doi:10.1126/sciadv.aaq1360. PMC 6051742. PMID 30035215.
Bianchi, Federico; Terragni, Silvia; Hovy, Dirk (2021). "Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence". Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 759–766. doi:10.18653/v1/2021.acl-short.96.
Xu, Weijie; Hu, Wenxiang; Wu, Fanyou; Sengamedu, Srinivasan (2023). "DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM". Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 9040–9057. arXiv:2310.15296. doi:10.18653/v1/2023.findings-emnlp.606.
Liu, L.; Tang, L.; et al. (2016). "An overview of topic modeling and its current applications in bioinformatics". SpringerPlus. 5 (1): 1608. doi:10.1186/s40064-016-3252-8. PMC 5028368. PMID 27652181. S2CID 16712827.
Valle, F.; Osella, M.; Caselle, M. (2020). "A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data". Cancers. 12 (12): 3799. doi:10.3390/cancers12123799. PMC 7766023. PMID 33339347. S2CID 229325007.

dx.doi.org

Xu, Weijie; Jiang, Xiaoyu; Sengamedu Hanumantha Rao, Srinivasan; Iannacci, Francis; Zhao, Jinjin (2023). "vONTSS: vMF based semi-supervised neural topic modeling with optimal transport". Findings of the Association for Computational Linguistics: ACL 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 4433–4457. arXiv:2307.01226. doi:10.18653/v1/2023.findings-acl.271.
Bianchi, Federico; Terragni, Silvia; Hovy, Dirk (2021). "Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence". Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 759–766. doi:10.18653/v1/2021.acl-short.96.
Xu, Weijie; Hu, Wenxiang; Wu, Fanyou; Sengamedu, Srinivasan (2023). "DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM". Findings of the Association for Computational Linguistics: EMNLP 2023. Stroudsburg, PA, USA: Association for Computational Linguistics: 9040–9057. arXiv:2310.15296. doi:10.18653/v1/2023.findings-emnlp.606.

harvard.edu

ui.adsabs.harvard.edu

Martin Gerlach; Tiago Pexioto; Eduardo Altmann (2018). "A network approach to topic models". Science Advances. 4 (7): eaaq1360. arXiv:1708.01677. Bibcode:2018SciA....4.1360G. doi:10.1126/sciadv.aaq1360. PMC 6051742. PMID 30035215.

illinois.edu

ifp.illinois.edu

Cao, Liangliang, and Li Fei-Fei. "Spatially coherent latent topic model for concurrent segmentation and classification of objects and scenes." 2007 IEEE 11th International Conference on Computer Vision. IEEE, 2007.

iospress.com

content.iospress.com

Lamba, Manika jun (2019). "Metadata Tagging and Prediction Modeling: Case Study of DESIDOC Journal of Library and Information Technology (2008-2017)". World Digital Libraries. 12: 33–89. doi:10.18329/09757597/2019/12103 (inactive 31 January 2024). ISSN 0975-7597.{{cite journal}}: CS1 maint: DOI inactive as of January 2024 (link)

jmlr.org

Chang, Jonathan (2009). "Relational Topic Models for Document Networks" (PDF). Aistats. 9: 81–88.

mit.edu

jmlr.csail.mit.edu

Blei, David M.; Ng, Andrew Y.; Jordan, Michael I; Lafferty, John (January 2003). "Latent Dirichlet allocation". Journal of Machine Learning Research. 3: 993–1022. doi:10.1162/jmlr.2003.3.4-5.993.

mlr.press

proceedings.mlr.press

Miao, Yishu; Grefenstette, Edward; Blunsom, Phil (2017). "Discovering Discrete Latent Topics with Neural Variational Inference". Proceedings of the 34th International Conference on Machine Learning. PMLR: 2410–2419.
Shalit, Uri; Weinshall, Daphna; Chechik, Gal (2013-05-13). "Modeling Musical Influence with Topic Models". Proceedings of the 30th International Conference on Machine Learning. PMLR: 244–252.

ncl.edu.tw

etd2018.ncl.edu.tw

Lamba, Manika sep (2018). Metadata Tagging of Library and Information Science Theses: Shodhganga (2013-2017) (PDF). ETD2018:Beyond the boundaries of Rims and Oceans. Taiwan, Taipei.

nih.gov

ncbi.nlm.nih.gov

Martin Gerlach; Tiago Pexioto; Eduardo Altmann (2018). "A network approach to topic models". Science Advances. 4 (7): eaaq1360. arXiv:1708.01677. Bibcode:2018SciA....4.1360G. doi:10.1126/sciadv.aaq1360. PMC 6051742. PMID 30035215.
Liu, L.; Tang, L.; et al. (2016). "An overview of topic modeling and its current applications in bioinformatics". SpringerPlus. 5 (1): 1608. doi:10.1186/s40064-016-3252-8. PMC 5028368. PMID 27652181. S2CID 16712827.
Valle, F.; Osella, M.; Caselle, M. (2020). "A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data". Cancers. 12 (12): 3799. doi:10.3390/cancers12123799. PMC 7766023. PMID 33339347. S2CID 229325007.

pubmed.ncbi.nlm.nih.gov

Martin Gerlach; Tiago Pexioto; Eduardo Altmann (2018). "A network approach to topic models". Science Advances. 4 (7): eaaq1360. arXiv:1708.01677. Bibcode:2018SciA....4.1360G. doi:10.1126/sciadv.aaq1360. PMC 6051742. PMID 30035215.
Liu, L.; Tang, L.; et al. (2016). "An overview of topic modeling and its current applications in bioinformatics". SpringerPlus. 5 (1): 1608. doi:10.1186/s40064-016-3252-8. PMC 5028368. PMID 27652181. S2CID 16712827.
Valle, F.; Osella, M.; Caselle, M. (2020). "A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data". Cancers. 12 (12): 3799. doi:10.3390/cancers12123799. PMC 7766023. PMID 33339347. S2CID 229325007.

proquest.com

Lamba, Manika may (2019). "Author-Topic Modeling of DESIDOC Journal of Library and Information Technology (2008-2017), India". Library Philosophy and Practice.

richmond.edu

dsl.richmond.edu

Nelson, Rob. "Mining the Dispatch". Mining the Dispatch. Digital Scholarship Lab, University of Richmond. Retrieved 26 March 2021.

semanticscholar.org

api.semanticscholar.org

Blei, David (April 2012). "Probabilistic Topic Models". Communications of the ACM. 55 (4): 77–84. doi:10.1145/2133806.2133826. S2CID 753304.
Papadimitriou, Christos; Raghavan, Prabhakar; Tamaki, Hisao; Vempala, Santosh (1998). "Latent semantic indexing". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 159–168. doi:10.1145/275487.275505. ISBN 978-0897919968. S2CID 1479546. Archived from the original (Postscript) on 2013-05-09. Retrieved 2012-04-17.
Lamba, Manika jun (2019). "Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study". Scientometrics. 120 (2): 477–505. doi:10.1007/s11192-019-03137-5. ISSN 0138-9130. S2CID 174802673.
Yin, Zhijun (2011). "Geographical topic discovery and comparison". Proceedings of the 20th international conference on World wide web. pp. 247–256. doi:10.1145/1963405.1963443. ISBN 9781450306324. S2CID 17883132.
Nikolenko, Sergey (2017). "Topic modelling for qualitative studies". Journal of Information Science. 43: 88–102. doi:10.1177/0165551515617393. S2CID 30657489.
Blei, David M. (April 2012). "Introduction to Probabilistic Topic Models" (PDF). Comm. ACM. 55 (4): 77–84. doi:10.1145/2133806.2133826. S2CID 753304.
Liu, L.; Tang, L.; et al. (2016). "An overview of topic modeling and its current applications in bioinformatics". SpringerPlus. 5 (1): 1608. doi:10.1186/s40064-016-3252-8. PMC 5028368. PMID 27652181. S2CID 16712827.
Valle, F.; Osella, M.; Caselle, M. (2020). "A Topic Modeling Analysis of TCGA Breast and Lung Cancer Transcriptomic Data". Cancers. 12 (12): 3799. doi:10.3390/cancers12123799. PMC 7766023. PMID 33339347. S2CID 229325007.

web.archive.org

Papadimitriou, Christos; Raghavan, Prabhakar; Tamaki, Hisao; Vempala, Santosh (1998). "Latent semantic indexing". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 159–168. doi:10.1145/275487.275505. ISBN 978-0897919968. S2CID 1479546. Archived from the original (Postscript) on 2013-05-09. Retrieved 2012-04-17.
Hofmann, Thomas (1999). "Probabilistic Latent Semantic Indexing" (PDF). Proceedings of the Twenty-Second Annual International SIGIR Conference on Research and Development in Information Retrieval. Archived from the original (PDF) on 2010-12-14.

worldcat.org

search.worldcat.org

Lamba, Manika jun (2019). "Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study". Scientometrics. 120 (2): 477–505. doi:10.1007/s11192-019-03137-5. ISSN 0138-9130. S2CID 174802673.
Lamba, Manika jun (2019). "Metadata Tagging and Prediction Modeling: Case Study of DESIDOC Journal of Library and Information Technology (2008-2017)". World Digital Libraries. 12: 33–89. doi:10.18329/09757597/2019/12103 (inactive 31 January 2024). ISSN 0975-7597.{{cite journal}}: CS1 maint: DOI inactive as of January 2024 (link)