Abstract

The evaluative character of a word is called its semantic orientation . Positive semantic orientation indicates praise (e.g., "honest", "intrepid") and negative semantic orientation indicates criticism (e.g., "disturbing", "superfluous"). Semantic orientation varies in both direction (positive or negative) and degree (mild to strong). An automated system for measuring semantic orientation would have application in text classification, text filtering, tracking opinions in online discussions, analysis of survey responses, and automated chat systems ( chatbots ). This article introduces a method for inferring the semantic orientation of a word from its statistical association with a set of positive and negative…

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1,508
total citations
FWCI
34.67
Percentile
100%
References
36
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Authors

2

Topics & keywords

Keywords
  • Computer science
  • Praise
  • Natural language processing
  • Artificial intelligence
  • Orientation (vector space)
  • Pointwise mutual information
  • Noun
  • Set (abstract data type)
UN Sustainable Development Goals
  • Quality Education
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Funding