Text mining (English Wikipedia)

Erik Cambria; Robert Speer; Catherine Havasi; Amir Hussain (2010). "SenticNet: a Publicly Available Semantic Resource for Opinion Mining" (PDF). Proceedings of AAAI CSK. pp. 14–18.

alrc.gov.au (Global: low place; English: low place)

"Text and data mining". Australian Law Reform Commission. 4 June 2013. Retrieved 10 February 2023.

berkeley.edu (Global: 580^th place; English: 462^nd place)

people.ischool.berkeley.edu

"Marti Hearst: What is Text Mining?".

breakthroughanalysis.com (Global: low place; English: low place)

"Unstructured Data and the 80 Percent Rule". Breakthrough Analysis. August 2008. Archived from the original on 2014-09-12. Retrieved 2015-02-23.

cmu.edu (Global: 1,564^th place; English: 1,028^th place)

cs.cmu.edu

"KDD-2000 Workshop on Text Mining – Call for Papers". Cs.cmu.edu. Retrieved 2015-02-23.

doi.org (Global: 2^nd place; English: 2^nd place)

Galiani, Sebastian; Gálvez, Ramiro H.; Nachman, Ian (2025). "Specialization trends in economics research: A large-scale study using natural language processing and citation analysis". Economic Inquiry. 63 (1): 289–329. doi:10.1111/ecin.13261.
Hobbs, Jerry R.; Walker, Donald E.; Amsler, Robert A. (1982). "Natural language access to structured text". Proceedings of the 9th conference on Computational linguistics. Vol. 1. pp. 127–32. doi:10.3115/991813.991833. S2CID 6433117.
Antunes, João (2018-11-14). Exploração de informações contextuais para enriquecimento semântico em representações de textos (Mestrado em Ciências de Computação e Matemática Computacional thesis) (in Portuguese). São Carlos: Universidade de São Paulo. doi:10.11606/d.55.2019.tde-03012019-103253.
Moro, Andrea; Raganato, Alessandro; Navigli, Roberto (December 2014). "Entity Linking meets Word Sense Disambiguation: a Unified Approach". Transactions of the Association for Computational Linguistics. 2: 231–244. doi:10.1162/tacl_a_00179. ISSN 2307-387X.
Chang, Wui Lee; Tay, Kai Meng; Lim, Chee Peng (2017-02-06). "A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization". Neural Processing Letters. 46 (2): 379–409. doi:10.1007/s11063-017-9597-3. ISSN 1370-4621. S2CID 9100902.
Benchimol, Jonathan; Kazinnik, Sophia; Saadon, Yossi (2022). "Text mining methodologies with R: An application to central bank texts". Machine Learning with Applications. 8 100286. doi:10.1016/j.mlwa.2022.100286. hdl:10419/323255. S2CID 243798160.
Mehl, Matthias R. (2006). "Quantitative Text Analysis". Handbook of multimethod measurement in psychology. p. 141. doi:10.1037/11383-011. ISBN 978-1-59147-318-3.
Pang, Bo; Lee, Lillian (2008). "Opinion Mining and Sentiment Analysis". Foundations and Trends in Information Retrieval. 2 (1–2): 1–135. CiteSeerX 10.1.1.147.2755. doi:10.1561/1500000011. ISSN 1554-0669. S2CID 207178694.
Paltoglou, Georgios; Thelwall, Mike (2012-09-01). "Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media". ACM Transactions on Intelligent Systems and Technology. 3 (4): 66. doi:10.1145/2337542.2337551. ISSN 2157-6904. S2CID 16600444.
Zanasi, Alessandro (2009). "Virtual Weapons for Real Wars: Text Mining for National Security". Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS'08. Advances in Soft Computing. Vol. 53. p. 53. doi:10.1007/978-3-540-88181-0_7. ISBN 978-3-540-88180-3.
Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A. (2015-12-09). "Text Mining for Protein Docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. ISSN 1553-7358. PMC 4674139. PMID 26650466.
Cohen, K. Bretonnel; Hunter, Lawrence (2008). "Getting Started in Text Mining". PLOS Computational Biology. 4 (1) e20. Bibcode:2008PLSCB...4...20C. doi:10.1371/journal.pcbi.0040020. PMC 2217579. PMID 18225946.
Badal, V. D; Kundrotas, P. J; Vakser, I. A (2015). "Text mining for protein docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. PMC 4674139. PMID 26650466.
Papanikolaou, Nikolas; Pavlopoulos, Georgios A.; Theodosiou, Theodosios; Iliopoulos, Ioannis (2015). "Protein–protein interaction predictions using text mining methods". Methods. 74: 47–53. doi:10.1016/j.ymeth.2014.10.026. ISSN 1046-2023. PMID 25448298.
Szklarczyk, Damian; Morris, John H; Cook, Helen; Kuhn, Michael; Wyder, Stefan; Simonovic, Milan; Santos, Alberto; Doncheva, Nadezhda T; Roth, Alexander (2016-10-18). "The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible". Nucleic Acids Research. 45 (D1): D362 – D368. doi:10.1093/nar/gkw937. ISSN 0305-1048. PMC 5210637. PMID 27924014.
Liem, David A.; Murali, Sanjana; Sigdel, Dibakar; Shi, Yu; Wang, Xuan; Shen, Jiaming; Choi, Howard; Caufield, John H.; Wang, Wei; Ping, Peipei; Han, Jiawei (2018-10-01). "Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease". American Journal of Physiology. Heart and Circulatory Physiology. 315 (4): H910 – H924. doi:10.1152/ajpheart.00175.2018. ISSN 1522-1539. PMC 6230912. PMID 29775406.
Van Le, D; Montgomery, J; Kirkby, KC; Scanlan, J (10 August 2018). "Risk Prediction using Natural Language Processing of Electronic Mental Health Records in an Inpatient Forensic Psychiatry Setting". Journal of Biomedical Informatics. 86: 49–58. doi:10.1016/j.jbi.2018.08.007. PMID 30118855.
Jenssen, Tor-Kristian; Lægreid, Astrid; Komorowski, Jan; Hovig, Eivind (2001). "A literature network of human genes for high-throughput analysis of gene expression". Nature Genetics. 28 (1): 21–8. doi:10.1038/ng0501-21. PMID 11326270. S2CID 8889284.
Masys, Daniel R. (2001). "Linking microarray data to the literature". Nature Genetics. 28 (1): 9–10. doi:10.1038/ng0501-9. PMID 11326264. S2CID 52848745.
Renganathan, Vinaitheerthan (2017). "Text Mining in Biomedical Domain with Emphasis on Document Clustering". Healthcare Informatics Research. 23 (3): 141–146. doi:10.4258/hir.2017.23.3.141. ISSN 2093-3681. PMC 5572517. PMID 28875048.
Coussement, Kristof; Van Den Poel, Dirk (2008). "Integrating the voice of customers through call center emails into a decision support system for churn prediction". Information & Management. 45 (3): 164–74. CiteSeerX 10.1.1.113.3238. doi:10.1016/j.im.2008.01.005.
Coussement, Kristof; Van Den Poel, Dirk (2008). "Improving customer complaint management by automatic email classification using linguistic style features as predictors". Decision Support Systems. 44 (4): 870–82. doi:10.1016/j.dss.2007.10.010.
Ramiro H. Gálvez; Agustín Gravano (2017). "Assessing the usefulness of online message board mining in automatic stock prediction systems". Journal of Computational Science. 19: 1877–7503. doi:10.1016/j.jocs.2017.01.001. hdl:11336/60065.
Pang, Bo; Lee, Lillian; Vaithyanathan, Shivakumar (2002). "Thumbs up?". Proceedings of the ACL-02 conference on Empirical methods in natural language processing. Vol. 10. pp. 79–86. doi:10.3115/1118693.1118704. S2CID 7105713.
Calvo, Rafael A; d'Mello, Sidney (2010). "Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications". IEEE Transactions on Affective Computing. 1 (1): 18–37. doi:10.1109/T-AFFC.2010.1. S2CID 753606.
Shen, Jiaming; Xiao, Jinfeng; He, Xinwei; Shang, Jingbo; Sinha, Saurabh; Han, Jiawei (2018-06-27). Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. ACM. pp. 565–574. doi:10.1145/3209978.3210055. ISBN 978-1-4503-5657-2. S2CID 13748283.
Walter, Lothar; Radauer, Alfred; Moehrle, Martin G. (2017-02-06). "The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining". Scientometrics. 111 (1): 103–115. doi:10.1007/s11192-017-2267-4. ISSN 0138-9130. S2CID 11174676.
Roll, Uri; Correia, Ricardo A.; Berger-Tal, Oded (2018-03-10). "Using machine learning to disentangle homonyms in large text corpora". Conservation Biology. 32 (3): 716–724. Bibcode:2018ConBi..32..716R. doi:10.1111/cobi.13044. ISSN 0888-8892. PMID 29086438. S2CID 3783779.
Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09). "Content analysis of 150 years of British periodicals". Proceedings of the National Academy of Sciences. 114 (4): E457 – E465. Bibcode:2017PNAS..114E.457L. doi:10.1073/pnas.1606380114. ISSN 0027-8424. PMC 5278459. PMID 28069962.

europa.eu (Global: 68^th place; English: 117^th place)

ec.europa.eu

"Licences for Europe – Structured Stakeholder Dialogue 2013". European Commission. Retrieved 14 November 2014.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Benchimol, Jonathan; Kazinnik, Sophia; Saadon, Yossi (2022). "Text mining methodologies with R: An application to central bank texts". Machine Learning with Applications. 8 100286. doi:10.1016/j.mlwa.2022.100286. hdl:10419/323255. S2CID 243798160.
Ramiro H. Gálvez; Agustín Gravano (2017). "Assessing the usefulness of online message board mining in automatic stock prediction systems". Journal of Computational Science. 19: 1877–7503. doi:10.1016/j.jocs.2017.01.001. hdl:11336/60065.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A. (2015-12-09). "Text Mining for Protein Docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. ISSN 1553-7358. PMC 4674139. PMID 26650466.
Cohen, K. Bretonnel; Hunter, Lawrence (2008). "Getting Started in Text Mining". PLOS Computational Biology. 4 (1) e20. Bibcode:2008PLSCB...4...20C. doi:10.1371/journal.pcbi.0040020. PMC 2217579. PMID 18225946.
Badal, V. D; Kundrotas, P. J; Vakser, I. A (2015). "Text mining for protein docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. PMC 4674139. PMID 26650466.
Roll, Uri; Correia, Ricardo A.; Berger-Tal, Oded (2018-03-10). "Using machine learning to disentangle homonyms in large text corpora". Conservation Biology. 32 (3): 716–724. Bibcode:2018ConBi..32..716R. doi:10.1111/cobi.13044. ISSN 0888-8892. PMID 29086438. S2CID 3783779.
Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09). "Content analysis of 150 years of British periodicals". Proceedings of the National Academy of Sciences. 114 (4): E457 – E465. Bibcode:2017PNAS..114E.457L. doi:10.1073/pnas.1606380114. ISSN 0027-8424. PMC 5278459. PMID 28069962.

iit.edu (Global: low place; English: 7,391^st place)

ir.iit.edu

[2] Archived March 3, 2012, at the Wayback Machine

informationweek.com (Global: 4,522^nd place; English: 2,903^rd place)

intelligent-enterprise.informationweek.com

[1] Archived November 29, 2009, at the Wayback Machine

lexology.com (Global: low place; English: 6,257^th place)

"Judge grants summary judgment in favor of Google Books – a fair use victory". Lexology. Antonelli Law Ltd. 19 November 2013. Retrieved 14 November 2014.

libereurope.eu (Global: low place; English: low place)

"Text and Data Mining:Its importance and the need for change in Europe". Association of European Research Libraries. 2013-04-25. Archived from the original on 2014-11-29. Retrieved 14 November 2014.

manchester.ac.uk (Global: 4,003^rd place; English: 2,646^th place)

"The University of Manchester". Manchester.ac.uk. Retrieved 2015-02-23.

medallia.com (Global: low place; English: low place)

"Text Analytics". Medallia. Retrieved 2015-02-23.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A. (2015-12-09). "Text Mining for Protein Docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. ISSN 1553-7358. PMC 4674139. PMID 26650466.
Cohen, K. Bretonnel; Hunter, Lawrence (2008). "Getting Started in Text Mining". PLOS Computational Biology. 4 (1) e20. Bibcode:2008PLSCB...4...20C. doi:10.1371/journal.pcbi.0040020. PMC 2217579. PMID 18225946.
Badal, V. D; Kundrotas, P. J; Vakser, I. A (2015). "Text mining for protein docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. PMC 4674139. PMID 26650466.
Papanikolaou, Nikolas; Pavlopoulos, Georgios A.; Theodosiou, Theodosios; Iliopoulos, Ioannis (2015). "Protein–protein interaction predictions using text mining methods". Methods. 74: 47–53. doi:10.1016/j.ymeth.2014.10.026. ISSN 1046-2023. PMID 25448298.
Szklarczyk, Damian; Morris, John H; Cook, Helen; Kuhn, Michael; Wyder, Stefan; Simonovic, Milan; Santos, Alberto; Doncheva, Nadezhda T; Roth, Alexander (2016-10-18). "The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible". Nucleic Acids Research. 45 (D1): D362 – D368. doi:10.1093/nar/gkw937. ISSN 0305-1048. PMC 5210637. PMID 27924014.
Liem, David A.; Murali, Sanjana; Sigdel, Dibakar; Shi, Yu; Wang, Xuan; Shen, Jiaming; Choi, Howard; Caufield, John H.; Wang, Wei; Ping, Peipei; Han, Jiawei (2018-10-01). "Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease". American Journal of Physiology. Heart and Circulatory Physiology. 315 (4): H910 – H924. doi:10.1152/ajpheart.00175.2018. ISSN 1522-1539. PMC 6230912. PMID 29775406.
Van Le, D; Montgomery, J; Kirkby, KC; Scanlan, J (10 August 2018). "Risk Prediction using Natural Language Processing of Electronic Mental Health Records in an Inpatient Forensic Psychiatry Setting". Journal of Biomedical Informatics. 86: 49–58. doi:10.1016/j.jbi.2018.08.007. PMID 30118855.
Jenssen, Tor-Kristian; Lægreid, Astrid; Komorowski, Jan; Hovig, Eivind (2001). "A literature network of human genes for high-throughput analysis of gene expression". Nature Genetics. 28 (1): 21–8. doi:10.1038/ng0501-21. PMID 11326270. S2CID 8889284.
Masys, Daniel R. (2001). "Linking microarray data to the literature". Nature Genetics. 28 (1): 9–10. doi:10.1038/ng0501-9. PMID 11326264. S2CID 52848745.
Renganathan, Vinaitheerthan (2017). "Text Mining in Biomedical Domain with Emphasis on Document Clustering". Healthcare Informatics Research. 23 (3): 141–146. doi:10.4258/hir.2017.23.3.141. ISSN 2093-3681. PMC 5572517. PMID 28875048.
Roll, Uri; Correia, Ricardo A.; Berger-Tal, Oded (2018-03-10). "Using machine learning to disentangle homonyms in large text corpora". Conservation Biology. 32 (3): 716–724. Bibcode:2018ConBi..32..716R. doi:10.1111/cobi.13044. ISSN 0888-8892. PMID 29086438. S2CID 3783779.
Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09). "Content analysis of 150 years of British periodicals". Proceedings of the National Academy of Sciences. 114 (4): E457 – E465. Bibcode:2017PNAS..114E.457L. doi:10.1073/pnas.1606380114. ISSN 0027-8424. PMC 5278459. PMID 28069962.

ncbi.nlm.nih.gov

Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A. (2015-12-09). "Text Mining for Protein Docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. ISSN 1553-7358. PMC 4674139. PMID 26650466.
Cohen, K. Bretonnel; Hunter, Lawrence (2008). "Getting Started in Text Mining". PLOS Computational Biology. 4 (1) e20. Bibcode:2008PLSCB...4...20C. doi:10.1371/journal.pcbi.0040020. PMC 2217579. PMID 18225946.
Badal, V. D; Kundrotas, P. J; Vakser, I. A (2015). "Text mining for protein docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. PMC 4674139. PMID 26650466.
Szklarczyk, Damian; Morris, John H; Cook, Helen; Kuhn, Michael; Wyder, Stefan; Simonovic, Milan; Santos, Alberto; Doncheva, Nadezhda T; Roth, Alexander (2016-10-18). "The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible". Nucleic Acids Research. 45 (D1): D362 – D368. doi:10.1093/nar/gkw937. ISSN 0305-1048. PMC 5210637. PMID 27924014.
Liem, David A.; Murali, Sanjana; Sigdel, Dibakar; Shi, Yu; Wang, Xuan; Shen, Jiaming; Choi, Howard; Caufield, John H.; Wang, Wei; Ping, Peipei; Han, Jiawei (2018-10-01). "Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease". American Journal of Physiology. Heart and Circulatory Physiology. 315 (4): H910 – H924. doi:10.1152/ajpheart.00175.2018. ISSN 1522-1539. PMC 6230912. PMID 29775406.
Renganathan, Vinaitheerthan (2017). "Text Mining in Biomedical Domain with Emphasis on Document Clustering". Healthcare Informatics Research. 23 (3): 141–146. doi:10.4258/hir.2017.23.3.141. ISSN 2093-3681. PMC 5572517. PMID 28875048.
Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09). "Content analysis of 150 years of British periodicals". Proceedings of the National Academy of Sciences. 114 (4): E457 – E465. Bibcode:2017PNAS..114E.457L. doi:10.1073/pnas.1606380114. ISSN 0027-8424. PMC 5278459. PMID 28069962.

out-law.com (Global: low place; English: low place)

Researchers given data mining right under new UK copyright laws Archived June 9, 2014, at the Wayback Machine

paperswithcode.com (Global: low place; English: low place)

Benchimol, Jonathan; Kazinnik, Sophia; Saadon, Yossi (2022). "Text mining methodologies with R: An application to central bank texts". Machine Learning with Applications. 8 100286. doi:10.1016/j.mlwa.2022.100286. hdl:10419/323255. S2CID 243798160.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Pang, Bo; Lee, Lillian (2008). "Opinion Mining and Sentiment Analysis". Foundations and Trends in Information Retrieval. 2 (1–2): 1–135. CiteSeerX 10.1.1.147.2755. doi:10.1561/1500000011. ISSN 1554-0669. S2CID 207178694.
Coussement, Kristof; Van Den Poel, Dirk (2008). "Integrating the voice of customers through call center emails into a decision support system for churn prediction". Information & Management. 45 (3): 164–74. CiteSeerX 10.1.1.113.3238. doi:10.1016/j.im.2008.01.005.

psychnology.org (Global: low place; English: low place)

Alessandro Valitutti; Carlo Strapparava; Oliviero Stock (2005). "Developing Affective Lexical Resources" (PDF). PsychNology Journal. 2 (1): 61–83. Archived from the original (PDF) on 2018-09-20. Retrieved 2007-08-21.

qcri.org (Global: low place; English: low place)

alt.qcri.org

"Sentiment Analysis in Twitter < SemEval-2017 Task 4". alt.qcri.org. Retrieved 2018-10-02.

repec.org (Global: 4,270^th place; English: 2,990^th place)

econpapers.repec.org

Coussement, Kristof; Van Den Poel, Dirk (2008). "Integrating the voice of customers through call center emails into a decision support system for churn prediction". Information & Management. 45 (3): 164–74. CiteSeerX 10.1.1.113.3238. doi:10.1016/j.im.2008.01.005.
Coussement, Kristof; Van Den Poel, Dirk (2008). "Improving customer complaint management by automatic email classification using linguistic style features as predictors". Decision Support Systems. 44 (4): 870–82. doi:10.1016/j.dss.2007.10.010.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Hobbs, Jerry R.; Walker, Donald E.; Amsler, Robert A. (1982). "Natural language access to structured text". Proceedings of the 9th conference on Computational linguistics. Vol. 1. pp. 127–32. doi:10.3115/991813.991833. S2CID 6433117.
Chang, Wui Lee; Tay, Kai Meng; Lim, Chee Peng (2017-02-06). "A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization". Neural Processing Letters. 46 (2): 379–409. doi:10.1007/s11063-017-9597-3. ISSN 1370-4621. S2CID 9100902.
Benchimol, Jonathan; Kazinnik, Sophia; Saadon, Yossi (2022). "Text mining methodologies with R: An application to central bank texts". Machine Learning with Applications. 8 100286. doi:10.1016/j.mlwa.2022.100286. hdl:10419/323255. S2CID 243798160.
Pang, Bo; Lee, Lillian (2008). "Opinion Mining and Sentiment Analysis". Foundations and Trends in Information Retrieval. 2 (1–2): 1–135. CiteSeerX 10.1.1.147.2755. doi:10.1561/1500000011. ISSN 1554-0669. S2CID 207178694.
Paltoglou, Georgios; Thelwall, Mike (2012-09-01). "Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media". ACM Transactions on Intelligent Systems and Technology. 3 (4): 66. doi:10.1145/2337542.2337551. ISSN 2157-6904. S2CID 16600444.
Jenssen, Tor-Kristian; Lægreid, Astrid; Komorowski, Jan; Hovig, Eivind (2001). "A literature network of human genes for high-throughput analysis of gene expression". Nature Genetics. 28 (1): 21–8. doi:10.1038/ng0501-21. PMID 11326270. S2CID 8889284.
Masys, Daniel R. (2001). "Linking microarray data to the literature". Nature Genetics. 28 (1): 9–10. doi:10.1038/ng0501-9. PMID 11326264. S2CID 52848745.
Pang, Bo; Lee, Lillian; Vaithyanathan, Shivakumar (2002). "Thumbs up?". Proceedings of the ACL-02 conference on Empirical methods in natural language processing. Vol. 10. pp. 79–86. doi:10.3115/1118693.1118704. S2CID 7105713.
Calvo, Rafael A; d'Mello, Sidney (2010). "Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications". IEEE Transactions on Affective Computing. 1 (1): 18–37. doi:10.1109/T-AFFC.2010.1. S2CID 753606.
Shen, Jiaming; Xiao, Jinfeng; He, Xinwei; Shang, Jingbo; Sinha, Saurabh; Han, Jiawei (2018-06-27). Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach. ACM. pp. 565–574. doi:10.1145/3209978.3210055. ISBN 978-1-4503-5657-2. S2CID 13748283.
Walter, Lothar; Radauer, Alfred; Moehrle, Martin G. (2017-02-06). "The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining". Scientometrics. 111 (1): 103–115. doi:10.1007/s11192-017-2267-4. ISSN 0138-9130. S2CID 11174676.
Roll, Uri; Correia, Ricardo A.; Berger-Tal, Oded (2018-03-10). "Using machine learning to disentangle homonyms in large text corpora". Conservation Biology. 32 (3): 716–724. Bibcode:2018ConBi..32..716R. doi:10.1111/cobi.13044. ISSN 0888-8892. PMID 29086438. S2CID 3783779.

u-tokyo.ac.jp (Global: 1,856^th place; English: 4,678^th place)

www-tsujii.is.s.u-tokyo.ac.jp

"Tsujii Laboratory". Tsujii.is.s.u-tokyo.ac.jp. Archived from the original on 2012-03-07. Retrieved 2015-02-23.

u-tokyo.ac.jp

"The University of Tokyo". UTokyo. Retrieved 2015-02-23.

usp.br (Global: 2,069^th place; English: 5,287^th place)

teses.usp.br

Antunes, João (2018-11-14). Exploração de informações contextuais para enriquecimento semântico em representações de textos (Mestrado em Ciências de Computação e Matemática Computacional thesis) (in Portuguese). São Carlos: Universidade de São Paulo. doi:10.11606/d.55.2019.tde-03012019-103253.

web.archive.org (Global: 1^st place; English: 1^st place)

[1] Archived November 29, 2009, at the Wayback Machine
[2] Archived March 3, 2012, at the Wayback Machine
"Unstructured Data and the 80 Percent Rule". Breakthrough Analysis. August 2008. Archived from the original on 2014-09-12. Retrieved 2015-02-23.
[3] Archived October 4, 2013, at the Wayback Machine
Alessandro Valitutti; Carlo Strapparava; Oliviero Stock (2005). "Developing Affective Lexical Resources" (PDF). PsychNology Journal. 2 (1): 61–83. Archived from the original (PDF) on 2018-09-20. Retrieved 2007-08-21.
"Tsujii Laboratory". Tsujii.is.s.u-tokyo.ac.jp. Archived from the original on 2012-03-07. Retrieved 2015-02-23.
"Text and Data Mining:Its importance and the need for change in Europe". Association of European Research Libraries. 2013-04-25. Archived from the original on 2014-11-29. Retrieved 14 November 2014.
Researchers given data mining right under new UK copyright laws Archived June 9, 2014, at the Wayback Machine

wiley.com (Global: 222^nd place; English: 297^th place)

onlinelibrary.wiley.com

Galiani, Sebastian; Gálvez, Ramiro H.; Nachman, Ian (2025). "Specialization trends in economics research: A large-scale study using natural language processing and citation analysis". Economic Inquiry. 63 (1): 289–329. doi:10.1111/ecin.13261.

wolterskluwer.com (Global: low place; English: low place)

legalblogs.wolterskluwer.com

"Kneschke vs. LAION - Landmark Ruling on TDM exceptions for AI training data – Part 2 | Kluwer Copyright Blog". legalblogs.wolterskluwer.com. Retrieved 2025-09-16.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Moro, Andrea; Raganato, Alessandro; Navigli, Roberto (December 2014). "Entity Linking meets Word Sense Disambiguation: a Unified Approach". Transactions of the Association for Computational Linguistics. 2: 231–244. doi:10.1162/tacl_a_00179. ISSN 2307-387X.
Chang, Wui Lee; Tay, Kai Meng; Lim, Chee Peng (2017-02-06). "A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization". Neural Processing Letters. 46 (2): 379–409. doi:10.1007/s11063-017-9597-3. ISSN 1370-4621. S2CID 9100902.
Pang, Bo; Lee, Lillian (2008). "Opinion Mining and Sentiment Analysis". Foundations and Trends in Information Retrieval. 2 (1–2): 1–135. CiteSeerX 10.1.1.147.2755. doi:10.1561/1500000011. ISSN 1554-0669. S2CID 207178694.
Paltoglou, Georgios; Thelwall, Mike (2012-09-01). "Twitter, MySpace, Digg: Unsupervised Sentiment Analysis in Social Media". ACM Transactions on Intelligent Systems and Technology. 3 (4): 66. doi:10.1145/2337542.2337551. ISSN 2157-6904. S2CID 16600444.
Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A. (2015-12-09). "Text Mining for Protein Docking". PLOS Computational Biology. 11 (12) e1004630. Bibcode:2015PLSCB..11E4630B. doi:10.1371/journal.pcbi.1004630. ISSN 1553-7358. PMC 4674139. PMID 26650466.
Papanikolaou, Nikolas; Pavlopoulos, Georgios A.; Theodosiou, Theodosios; Iliopoulos, Ioannis (2015). "Protein–protein interaction predictions using text mining methods". Methods. 74: 47–53. doi:10.1016/j.ymeth.2014.10.026. ISSN 1046-2023. PMID 25448298.
Szklarczyk, Damian; Morris, John H; Cook, Helen; Kuhn, Michael; Wyder, Stefan; Simonovic, Milan; Santos, Alberto; Doncheva, Nadezhda T; Roth, Alexander (2016-10-18). "The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible". Nucleic Acids Research. 45 (D1): D362 – D368. doi:10.1093/nar/gkw937. ISSN 0305-1048. PMC 5210637. PMID 27924014.
Liem, David A.; Murali, Sanjana; Sigdel, Dibakar; Shi, Yu; Wang, Xuan; Shen, Jiaming; Choi, Howard; Caufield, John H.; Wang, Wei; Ping, Peipei; Han, Jiawei (2018-10-01). "Phrase mining of textual data to analyze extracellular matrix protein patterns across cardiovascular disease". American Journal of Physiology. Heart and Circulatory Physiology. 315 (4): H910 – H924. doi:10.1152/ajpheart.00175.2018. ISSN 1522-1539. PMC 6230912. PMID 29775406.
Renganathan, Vinaitheerthan (2017). "Text Mining in Biomedical Domain with Emphasis on Document Clustering". Healthcare Informatics Research. 23 (3): 141–146. doi:10.4258/hir.2017.23.3.141. ISSN 2093-3681. PMC 5572517. PMID 28875048.
Walter, Lothar; Radauer, Alfred; Moehrle, Martin G. (2017-02-06). "The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining". Scientometrics. 111 (1): 103–115. doi:10.1007/s11192-017-2267-4. ISSN 0138-9130. S2CID 11174676.
Roll, Uri; Correia, Ricardo A.; Berger-Tal, Oded (2018-03-10). "Using machine learning to disentangle homonyms in large text corpora". Conservation Biology. 32 (3): 716–724. Bibcode:2018ConBi..32..716R. doi:10.1111/cobi.13044. ISSN 0888-8892. PMID 29086438. S2CID 3783779.
Lansdall-Welfare, Thomas; Sudhahar, Saatviga; Thompson, James; Lewis, Justin; Team, FindMyPast Newspaper; Cristianini, Nello (2017-01-09). "Content analysis of 150 years of British periodicals". Proceedings of the National Academy of Sciences. 114 (4): E457 – E465. Bibcode:2017PNAS..114E.457L. doi:10.1073/pnas.1606380114. ISSN 0027-8424. PMC 5278459. PMID 28069962.

zohosites.com (Global: low place; English: low place)

yatsko.zohosites.com

[3] Archived October 4, 2013, at the Wayback Machine

Text mining (English Wikipedia)

aaai.org (Global: 9,352nd place; English: 5,696th place)

alrc.gov.au (Global: low place; English: low place)

berkeley.edu (Global: 580th place; English: 462nd place)

people.ischool.berkeley.edu

breakthroughanalysis.com (Global: low place; English: low place)

cmu.edu (Global: 1,564th place; English: 1,028th place)

cs.cmu.edu

doi.org (Global: 2nd place; English: 2nd place)

europa.eu (Global: 68th place; English: 117th place)

ec.europa.eu

handle.net (Global: 102nd place; English: 76th place)

hdl.handle.net

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

iit.edu (Global: low place; English: 7,391st place)

ir.iit.edu

informationweek.com (Global: 4,522nd place; English: 2,903rd place)

intelligent-enterprise.informationweek.com

lexology.com (Global: low place; English: 6,257th place)

libereurope.eu (Global: low place; English: low place)

manchester.ac.uk (Global: 4,003rd place; English: 2,646th place)

medallia.com (Global: low place; English: low place)

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

ncbi.nlm.nih.gov

out-law.com (Global: low place; English: low place)

paperswithcode.com (Global: low place; English: low place)

psu.edu (Global: 207th place; English: 136th place)

citeseerx.ist.psu.edu

psychnology.org (Global: low place; English: low place)

qcri.org (Global: low place; English: low place)

alt.qcri.org

repec.org (Global: 4,270th place; English: 2,990th place)

econpapers.repec.org

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

u-tokyo.ac.jp (Global: 1,856th place; English: 4,678th place)

www-tsujii.is.s.u-tokyo.ac.jp

u-tokyo.ac.jp

usp.br (Global: 2,069th place; English: 5,287th place)

teses.usp.br

web.archive.org (Global: 1st place; English: 1st place)

wiley.com (Global: 222nd place; English: 297th place)

onlinelibrary.wiley.com

wolterskluwer.com (Global: low place; English: low place)

legalblogs.wolterskluwer.com

worldcat.org (Global: 5th place; English: 5th place)

search.worldcat.org

zohosites.com (Global: low place; English: low place)

yatsko.zohosites.com

aaai.org (Global: 9,352^nd place; English: 5,696^th place)

berkeley.edu (Global: 580^th place; English: 462^nd place)

cmu.edu (Global: 1,564^th place; English: 1,028^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

europa.eu (Global: 68^th place; English: 117^th place)

handle.net (Global: 102^nd place; English: 76^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

iit.edu (Global: low place; English: 7,391^st place)

informationweek.com (Global: 4,522^nd place; English: 2,903^rd place)

lexology.com (Global: low place; English: 6,257^th place)

manchester.ac.uk (Global: 4,003^rd place; English: 2,646^th place)

nih.gov (Global: 4^th place; English: 4^th place)

psu.edu (Global: 207^th place; English: 136^th place)

repec.org (Global: 4,270^th place; English: 2,990^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

u-tokyo.ac.jp (Global: 1,856^th place; English: 4,678^th place)

usp.br (Global: 2,069^th place; English: 5,287^th place)

web.archive.org (Global: 1^st place; English: 1^st place)

wiley.com (Global: 222^nd place; English: 297^th place)

worldcat.org (Global: 5^th place; English: 5^th place)