latent semantic analysis
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latent semantic analysis
Summary
latent semantic analysis is a method[1]. It draws 136 Wikipedia views per month (method category, ranking #96 of 415).[2]
Key Facts
- latent semantic analysis's field of work was natural language processing[3].
- latent semantic analysis is the creator of Scott Deerwester[4].
- latent semantic analysis is the creator of Susan T. Dumais[5].
- latent semantic analysis is the creator of George W. Furnas[6].
- latent semantic analysis is the creator of Richard Harshman[7].
- latent semantic analysis is the creator of Thomas Landauer[8].
- latent semantic analysis's instance of is recorded as method[9].
- latent semantic analysis's subclass of is recorded as vector space model[10].
- +1989-06-13T00:00:00Z marks the founding of latent semantic analysis[11].
- latent semantic analysis's Freebase ID is recorded as /m/032yxt[12].
- latent semantic analysis's patent number is recorded as US4839853[13].
- latent semantic analysis's described by source is recorded as Indexing by latent semantic analysis[14].
- latent semantic analysis's JSTOR topic ID is recorded as latent-semantic-analysis[15].
- latent semantic analysis's Microsoft Academic ID is recorded as 146172628[16].
- latent semantic analysis's Microsoft Academic ID is recorded as 170133592[17].
- latent semantic analysis's Scholarpedia article ID is recorded as Latent_semantic_analysis[18].
- latent semantic analysis's OpenAlex ID is recorded as C170133592[19].
Body
Career and Affiliations
latent semantic analysis's field of work was natural language processing[3].
Works and Contributions
Created works include Scott Deerwester[4], a researcher[20], b. 1956[21]; Susan T. Dumais[5], a computer scientist[22], b. 2000[23], of United States[24], awarded the CHI Academy[25], specialised in computer science[26]; George W. Furnas[6], a linguist[27], b. 1954[28], of United States[29], awarded the ACM Fellow[30]; Richard Harshman[7], a psychologist[31], of Canada[32]; and Thomas Landauer[8], a psychologist[33], 1932–2014[34], of United States[35], awarded the CHI Academy[36].
Why It Matters
latent semantic analysis draws 136 Wikipedia views per month (method category, ranking #96 of 415).[2] It has Wikipedia articles in 12 language editions, a strong signal of global cultural recognition.[37] It is known by 17 alternative names across languages and contexts.[38]