Scott Deerwester

{{short description|American computer scientist}}{{More citations needed|date=February 2025}}

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{{Cite journal |last1=Deerwester |first1=Scott |last2=Dumais |first2=Susan T. |last3=Furnas |first3=George W. |last4=Landauer |first4=Thomas K. |last5=Harshman |first5=Richard |date=September 1990 |title=Indexing by latent semantic analysis |url=http://wordvec.colorado.edu/papers/Deerwester_1990.pdf |journal=Journal of the American Society for Information Science |volume=41 |issue=6 |pages=391–407 |doi=10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9 |issn=0002-8231}}{{Cite book |last1=Dumais |first1=S. T. |title=Proceedings of the SIGCHI conference on Human factors in computing systems – CHI '88 |last2=Furnas |first2=G. W. |last3=Landauer |first3=T. K. |last4=Deerwester |first4=S. |last5=Harshman |first5=R. |date=1988-05-01 | publisher=Association for Computing Machinery |isbn=978-0-201-14237-2 |location=New York, NY, USA |pages=281–285 |chapter=Using latent semantic analysis to improve access to textual information |doi=10.1145/57167.57214 |chapter-url=https://dl.acm.org/doi/abs/10.1145/57167.57214}}

Early life

Deerwester was born in Rossville, Indiana, United States in January 1956.{{Cite web |title=Scott Craig DEERWESTER personal appointments - Find and update company information - GOV.UK |url=https://find-and-update.company-information.service.gov.uk/officers/A7I6qNgZ7VmFu3IHuCJiuyWVJao/appointments?utm_source=chatgpt.com |access-date=2024-12-26 |website=find-and-update.company-information.service.gov.uk |language=en}}

Publications and research work

Deerwester contributed to the development of LSA{{Cite journal |last=Deerwester |first=Scott |last2=Dumais |first2=Susan T. |last3=Furnas |first3=George W. |last4=Landauer |first4=Thomas K. |last5=Harshman |first5=Richard |date=1990 |title=Indexing by latent semantic analysis |url=https://asistdl.onlinelibrary.wiley.com/doi/10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9 |journal=Journal of the American Society for Information Science |language=en |volume=41 |issue=6 |pages=391–407 |doi=10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9 |issn=1097-4571}} during his time at Colgate University and the University of Chicago.{{Cite web |last=Scott |first=Deerwester |title=Scott Deerwester {{!}} LinkedIn |url=https://www.linkedin.com/in/scottdeerwester/ |website=LinkedIn}} He published his first research paper, The Retrieval Expert Model of Information Retrieval,{{Cite web |title=THE RETRIEVAL EXPERT MODEL OF INFORMATION RETRIEVAL - ProQuest |url=https://www.proquest.com/openview/d1fcf57d37b29a1c96e0bbcebea70ab1/1?pq-origsite=gscholar&cbl=18750&diss=y |access-date=2024-12-26 |website=www.proquest.com |language=en}} at Purdue University in 1984.{{Cite web |last=Deerwester |first=Scott |date=1984 |title=The retrieval expert model of information retrieval |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=r4NPfVkAAAAJ&citation_for_view=r4NPfVkAAAAJ:WF5omc3nYNoC |access-date=18 October 2024 | website=Google Scholar }}

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.{{Cite journal |last=Foltz |first=Peter W. |date=1996-06-01 |title=Latent semantic analysis for text-based research |url=https://link.springer.com/article/10.3758/BF03204765 |journal=Behavior Research Methods, Instruments, & Computers |language=en |volume=28 |issue=2 |pages=197–202 |doi=10.3758/BF03204765 |issn=1532-5970}} 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.

In 1988, Deerwester co-authored a research paper on latent semantic analysis (LSA).{{Cite book |last1=Dumais |first1=S. T. |last2=Furnas |first2=G. W. |last3=Landauer |first3=T. K. |last4=Deerwester |first4=S. |last5=Harshman |first5=R. |chapter=Using latent semantic analysis to improve access to textual information |date=1988 |title=Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '88 |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=r4NPfVkAAAAJ&citation_for_view=r4NPfVkAAAAJ:u-x6o8ySG0sC |language=en |location=Washington, D.C., United States |publisher=ACM Press |pages=281–285 |doi=10.1145/57167.57214 |isbn=978-0-201-14237-2}} 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.{{Cite journal |last1=Hurtado |first1=Jose L. |last2=Agarwal |first2=Ankur |last3=Zhu |first3=Xingquan |date=14 April 2016 |title=Topic discovery and future trend forecasting for texts |journal=Journal of Big Data |volume=3 |doi=10.1186/s40537-016-0039-2 |doi-access=free}}

Deerwester's latest work was published in 2017[https://explore.openalex.org/works?page=1&filter=authorships.author.id%3Aa5074017238,publication_year%3A2017 .]

See also

References

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