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

83 Scopus citations


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
Issue number2
StatePublished - 2013


  • ConceptNet
  • commonsense knowledge
  • sentiment analysis
  • sentiment dictionary


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