Scott Deerwester
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Scott Craig Deerwester is an American computer scientist and computer engineer who contributed to the creation of the mathematical and natural language processing (NLP) technique known as latent semantic analysis (LSA).[1][2]
Early life
[edit]Deerwester was born in Rossville, Indiana, United States in January, 1956.[3] He is the son of Kenneth F. Deerwester (July 8, 1927 – March 3, 2013) and Donna Stone.[4]
Scientific career
[edit]Deerwester began his academic career in the United States, contributing to the development of LSA[5] during his time at Colgate University and the University of Chicago.[6] He published his first research paper, The Retrieval Expert Model of Information Retrieval,[7] at Purdue University in 1984.[8]
Publications and research work
[edit]In 1988, Deerwester co-authored a research paper on latent semantic analysis (LSA).[9] The paper proposed an improvement to information retrieval systems that would process textual information by deriving a semantic structure for them.
According to Deerwester's 1988 paper, LSA enabled search engines to retrieve relevant documents even when they did not contain the exact keywords, addressing issues related to polysemy and synonymy[10]. This led to a more accessible and contextual retrieval mechanism.[1]
LSA is used in natural language processing applications, including chatbots and automatic translation services, and has the ability to emulate some human traits such as word sorting and category assessment.[11] Deerwester's work has found applications in data mining, recommender systems, and business intelligence tools, and his research advanced the development of Latent Dirichlet Allocation (LDA) and probabilistic models, which are widely used in topic modeling and semantic analysis.[2]
References
[edit]- ^ a b Deerwester, Scott; Dumais, Susan T.; Furnas, George W.; Landauer, Thomas K.; Harshman, Richard (September 1990). "Indexing by latent semantic analysis". Journal of the American Society for Information Science. 41 (6): 391–407. doi:10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9. ISSN 0002-8231.
- ^ a b Dumais, S. T.; Furnas, G. W.; Landauer, T. K.; Deerwester, S.; Harshman, R. (1988-05-01). "Using latent semantic analysis to improve access to textual information". Proceedings of the SIGCHI conference on Human factors in computing systems – CHI '88. New York, NY, USA: Association for Computing Machinery. pp. 281–285. doi:10.1145/57167.57214. ISBN 978-0-201-14237-2.
- ^ "Scott Craig DEERWESTER personal appointments - Find and update company information - GOV.UK". find-and-update.company-information.service.gov.uk. Retrieved 2024-12-26.
- ^ "Obituary information for Kenneth F. Deerwester". www.gundersonfh.com. Retrieved 2025-01-04.
- ^ Deerwester, Scott; Dumais, Susan T.; Furnas, George W.; Landauer, Thomas K.; Harshman, Richard (1990). "Indexing by latent semantic analysis". Journal of the American Society for Information Science. 41 (6): 391–407. doi:10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9. ISSN 1097-4571.
- ^ Scott, Deerwester. "Scott Deerwester | LinkedIn". LinkedIn.
- ^ "THE RETRIEVAL EXPERT MODEL OF INFORMATION RETRIEVAL - ProQuest". www.proquest.com. Retrieved 2024-12-26.
- ^ Deerwester, Scott (1984). "The retrieval expert model of information retrieval". Google Scholar. Retrieved 18 October 2024.
- ^ Dumais, S. T.; Furnas, G. W.; Landauer, T. K.; Deerwester, S.; Harshman, R. (1988). "Using latent semantic analysis to improve access to textual information". Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '88. Washington, D.C., United States: ACM Press. pp. 281–285. doi:10.1145/57167.57214. ISBN 978-0-201-14237-2.
- ^ Hurtado, Jose L.; Agarwal, Ankur; Zhu, Xingquan (14 April 2016). "Topic discovery and future trend forecasting for texts". Journal of Big Data. 3. doi:10.1186/s40537-016-0039-2.
- ^ Foltz, Peter W. (1996-06-01). "Latent semantic analysis for text-based research". Behavior Research Methods, Instruments, & Computers. 28 (2): 197–202. doi:10.3758/BF03204765. ISSN 1532-5970.