Process / pipeline

Keyword Extraction — Automatic Key Term Identification

Keyword extraction is a natural-language-processing task that automatically identifies the words or phrases that best represent the content of a document. It turns a body of free text into a compact, ranked list of key terms, drawing on statistical, graph-based methods such as TextRank (Mihalcea & Tarau, 2004), or embedding-based methods such as KeyBERT (Grootendorst, 2020).

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Sources

  1. Mihalcea, R. & Tarau, P. (2004). TextRank: Bringing Order into Texts. EMNLP, 404-411. DOI: 10.3115/1219044.1219064
  2. Grootendorst, M. (2020). KeyBERT. Zenodo. link

Related methods

Referenced by

ScholarGateKeyword Extraction (Automatic Keyword Extraction). Retrieved 2026-06-04 from https://scholargate.app/tr/text-mining/keyword-extraction