Building a concept-level sentiment dictionary based on commonsense knowledge

Angela Charng Rurng Tsai, Chi En Wu, Richard Tzong Han Tsai, Jane Yung Jen Hsu

Research output: Contribution to journalArticlepeer-review

79 Scopus citations

Abstract

Sentiment dictionaries are essential for research in the sentiment analysis field. A two-step method integrates iterative regression and random walk with in-link normalization to build a concept-level sentiment dictionary. The approach uses ConceptNet as a framework to propagate sentiment values, based on the assumption that semantically related concepts share a common sentiment.

Original languageEnglish
Article number6461369
Pages (from-to)22-30
Number of pages9
JournalIEEE Intelligent Systems
Volume28
Issue number2
DOIs
StatePublished - 2013

Keywords

  • commonsense knowledge
  • ConceptNet
  • sentiment analysis
  • sentiment dictionary

Fingerprint

Dive into the research topics of 'Building a concept-level sentiment dictionary based on commonsense knowledge'. Together they form a unique fingerprint.

Cite this