Automatically Determining Attitude Type and Force for Sentiment Analysis

  title={Automatically Determining Attitude Type and Force for Sentiment Analysis},
  author={Shlomo Argamon and Kenneth Bloom and Andrea Esuli and Fabrizio Sebastiani},
Recent work in sentiment analysis has begun to apply fine-grained semantic distinctions between expressions of attitude as features for textual analysis. Such methods, however, require the construction of large and complex lexicons, giving values for multiple sentimentrelated attributes to many different lexical items. For example, a key attribute is what type of attitude is expressed by a lexical item; e.g., beautiful expresses appreciation of an object’s quality, while evil expresses a… CONTINUE READING
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