ScholarGate
Assistent
Process / pipeline

Ordbogsbaseret sentimentanalyse

Ordbogsbaseret sentimentanalyse beregner sentiment på ordniveau ved hjælp af forudbyggede sentimentordbøger såsom AFINN (Nielsen, 2011), SentiWordNet, VADER (Hutto & Gilbert, 2014) og NRC Emotion Lexicon. Den scorer tekst ved at slå ord op i en ordbog med ladede termer, så den kræver ingen mærkede træningsdata.

Åbn i MethodMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

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

Sådan citerer du denne side

ScholarGate. (2026, June 1). Lexicon-Based Sentiment Analysis. ScholarGate. https://scholargate.app/da/text-mining/lexicon-based-sentiment

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateLexicon-Based Sentiment Analysis (Lexicon-Based Sentiment Analysis). Hentet 2026-06-15 fra https://scholargate.app/da/text-mining/lexicon-based-sentiment · Datasæt: https://doi.org/10.5281/zenodo.20539026