ScholarGate
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Process / pipeline

Sentimentanalyse basert på leksikon

Sentimentanalyse basert på leksikon beregner sentiment på ordnivå ved hjelp av ferdigbygde sentimentordbøker som AFINN (Nielsen, 2011), SentiWordNet, VADER (Hutto & Gilbert, 2014) og NRC Emotion Lexicon. Den scorer tekst ved å slå opp ord i en ordbok med ladede termer, så den krever ingen merkede treningsdata.

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Kilder

  1. Nielsen, F.Å. (2011). A New ANEW: Evaluation of a Word List for Sentiment Analysis in Microblogs. Proceedings of the ESWC Workshop on 'Making Sense of Microposts'. link
  2. Hutto, C.J. & Gilbert, E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), 8(1), 216-225. DOI: 10.1609/icwsm.v8i1.14550

Slik siterer du denne siden

ScholarGate. (2026, June 1). Lexicon-Based Sentiment Analysis. ScholarGate. https://scholargate.app/no/text-mining/lexicon-based-sentiment

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ScholarGateLexicon-Based Sentiment Analysis (Lexicon-Based Sentiment Analysis). Hentet 2026-06-15 fra https://scholargate.app/no/text-mining/lexicon-based-sentiment · Datasett: https://doi.org/10.5281/zenodo.20539026