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Opinion Mining — Aspect-Based Sentiment Extraction

Opinion mining er en opgave inden for naturlig sprogbehandling, der systematisk udtrækker og analyserer brugeres holdninger til et produkt, en service eller et emne — identificerer de specifikke træk (aspekter), der diskuteres, den følelse, der udtrykkes over for hver, og holdningsejerne. Konsolideret af Bing Liu (2012) går den ud over en enkelt dokumentniveau-etiket for at producere strukturerede aspekt–holdning–holder-poster.

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Kilder

  1. Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan & Claypool. DOI: 10.2200/S00416ED1V01Y201204HLT016
  2. Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135. DOI: 10.1561/1500000011

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ScholarGate. (2026, June 1). Opinion Mining (Aspect-Based Sentiment Extraction). ScholarGate. https://scholargate.app/da/text-mining/opinion-mining

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ScholarGateOpinion Mining (Opinion Mining (Aspect-Based Sentiment Extraction)). Hentet 2026-06-15 fra https://scholargate.app/da/text-mining/opinion-mining · Datasæt: https://doi.org/10.5281/zenodo.20539026