Scott Craig Deerwester is an American computer scientist and computer engineer. He is known for his contributions to the development of latent semantic analysis (LSA), a mathematical and natural language processing (NLP) technique[1][2]

Early life

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]

Publications and research work

Deerwester contributed 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]

LSA is used in natural language processing applications, including chatbots and automatic translation services, and is capable of emulating human-like patterns and behaviors, such as word sorting and category assessment.[9] LSA has found applications in data mining, recommender systems, and business intelligence tools. This research has also been useful in the development of Latent Dirichlet Allocation (LDA) and probabilistic models, which are used in topic modelling and semantic analysis.[2]

In 1988, Deerwester co-authored a research paper on latent semantic analysis (LSA).[10] The paper proposed an alteration to information retrieval systems that would process textual information by deriving a semantic structure. Notably, the techniques introduced in the paper allowed search engines to retrieve relevant documents that lacked exact keywords. This was done by accounting for polysemy and synonymy.[11]

Deerwester's latest work was published in 2017.

See also

References

  1. ^ Deerwester, Scott; Dumais, Susan T.; Furnas, George W.; Landauer, Thomas K.; Harshman, Richard (September 1990). "Indexing by latent semantic analysis" (PDF). 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.
  2. ^ 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.
  3. ^ "Scott Craig DEERWESTER personal appointments - Find and update company information - GOV.UK". find-and-update.company-information.service.gov.uk. Retrieved 2024-12-26.
  4. ^ "Obituary information for Kenneth F. Deerwester". www.gundersonfh.com. Retrieved 2025-01-04.
  5. ^ 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.
  6. ^ Scott, Deerwester. "Scott Deerwester | LinkedIn". LinkedIn.
  7. ^ "THE RETRIEVAL EXPERT MODEL OF INFORMATION RETRIEVAL - ProQuest". www.proquest.com. Retrieved 2024-12-26.
  8. ^ Deerwester, Scott (1984). "The retrieval expert model of information retrieval". Google Scholar. Retrieved 18 October 2024.
  9. ^ 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.
  10. ^ 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.
  11. ^ 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.


Allikas: https://en.wikipedia.org/wiki/Scott_Deerwester
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