New avenues in opinion mining and sentiment analysis

Erik Cambria, Bjorn Schuller, Yunqing Xia, Catherine Havasi

Research output: Contribution to journalArticlepeer-review

907 Scopus citations

Abstract

The distillation of knowledge from the Web—also known as opinion mining and sentiment analysis—is a task that has recently raised growing interest for purposes such as customer service, predicting financial markets, monitoring public security, investigating elections, and measuring a health-related quality of life. This article considers past, present, and future trends of sentiment analysis by delving into the evolution of different tools and techniques—from heuristics to discourse structure, from coarse- to fine-grained analysis, and from keyword- to concept-level opinion mining.

Original languageEnglish
Article number6468032
Pages (from-to)15-21
Number of pages7
JournalIEEE Intelligent Systems
Volume28
Issue number2
DOIs
StatePublished - 2013

Keywords

  • AI
  • NLP
  • intelligent systems
  • opinion mining
  • sentiment analysis

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