latent semantic analysis

technique in natural language processing
Intangible method Q1806883
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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]

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [9] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  2. [3] . wikidata.org.
  3. [4] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  4. [5] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  5. [6] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  6. [7] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  7. [8] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  8. [10] . wikidata.org.
  9. [11] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  10. [12] . Freebase Data Dumps. wikidata.org.
  11. [13] . patft.uspto.gov. Retrieved . patft.uspto.gov. Provenance: wikidata.org.
  12. [14] . wikidata.org.
  13. [15] . wikidata.org.
  14. [16] . wikidata.org.
  15. [17] . wikidata.org.
  16. [18] . wikidata.org.
  17. [19] . OpenAlex. Retrieved . docs.openalex.org. Provenance: wikidata.org.

Inline context (facts about related entities)

  1. [20] . Wikidata. wikidata.org. → on this site
  2. [21] . Wikidata. wikidata.org. → on this site
  3. [22] . Wikidata. wikidata.org. → on this site
  4. [23] . Wikidata. wikidata.org. → on this site
  5. [24] . Wikidata. wikidata.org. → on this site
  6. [25] . Wikidata. wikidata.org. → on this site
  7. [26] . Wikidata. wikidata.org. → on this site
  8. [27] . Wikidata. wikidata.org. → on this site
  9. [28] . Wikidata. wikidata.org. → on this site
  10. [29] . Wikidata. wikidata.org. → on this site
  11. [30] . Wikidata. wikidata.org. → on this site
  12. [31] . Wikidata. wikidata.org. → on this site
  13. [32] . Wikidata. wikidata.org. → on this site
  14. [33] . Wikidata. wikidata.org. → on this site
  15. [34] . Wikidata. wikidata.org. → on this site
  16. [35] . Wikidata. wikidata.org. → on this site
  17. [36] . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] . Wikimedia Foundation. dumps.wikimedia.org.
  2. [37] . Wikidata sitelinks. wikidata.org.
  3. [38] . Wikidata aliases. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). latent semantic analysis. Retrieved May 3, 2026, from https://4ort.xyz/entity/latent-semantic-analysis
MLA “latent semantic analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/latent-semantic-analysis.
BibTeX @misc{4ortxyz_latent-semantic-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{latent semantic analysis}}, year = {2026}, url = {https://4ort.xyz/entity/latent-semantic-analysis}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): latent semantic analysis — https://4ort.xyz/entity/latent-semantic-analysis (retrieved 2026-05-03)

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