Detecting Implicit Expressions of Sentiment in Text Based on Commonsense Knowledge

  title={Detecting Implicit Expressions of Sentiment in Text Based on Commonsense Knowledge},
  author={Alexandra Balahur and Jes{\'u}s M. Hermida and Andr{\'e}s Montoyo},
Sentiment analysis is one of the recent, highly dynamic fields in Natural Language Processing. Most existing approaches are based on word-level analysis of texts and are able to detect only explicit expressions of sentiment. In this paper, we present an approach towards automatically detecting emotions (as underlying components of sentiment) from contexts in which no clues of sentiment appear, based on commonsense knowledge. The resource we built towards this aim – EmotiNet is a knowledge base… CONTINUE READING
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Rethinking Opinion Mining in Newspaper Articles: from Theory to Practice and Back, proceedings of the first work

  • A. Balahur, R. Steinberger
  • 2009
2 Excerpts

Applying a Culture

  • A. Balahur, A. Montoyo
  • 2008
2 Excerpts

Corpusbased semantic role approach in information retrieval, Data Knowl

  • P. Moreda, B. Navarro, M. Palomar.
  • Eng. (DKE) 61(3):467-483.
  • 2007
1 Excerpt

A Model o

  • H. Liu, H. Lieberman, T. Selker
  • 2003
2 Excerpts

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