Everything About ___
Live briefing

Everything about Explicit semantic analysis

In natural language processing and information retrieval, explicit semantic analysis (ESA) is a vectoral representation of text that uses a document corpus as a knowledge base. Specifically, in ESA, a word is represented as a column vector in the tf–idf matrix of the text corpus and a document is represented as the centroid of the vectors representing its words. Typically, the text corpus is English Wikipedia, though other corpora including the Open Directory Project have been used. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Explicit semantic analysisA 5-minute orientation
  2. Skim a recent paper: Analysing the explicit and implicit semantic structure of the Iljas Esenberlin novel trilogy “Nomads”Influential work since 2022
  3. Pick up a classic book: Linguistics and Exegesis in the Gospel of MarkThe most-reprinted book on the subject
  4. Read the landmark paper: Concept-Based Information Retrieval Using Explicit Semantic AnalysisCited 180 times
  5. Go sideways: Semantic analyticsA closely related topic
  6. Go sideways: Evgeniy GabrilovichA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Model
  2. Analysis
  3. Applications
  4. Extensions

🏆 Landmark papers (most cited)

🆕 Influential since 2022

đź“š Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics