Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis

@inproceedings{Chan2009LetsT,
  title={Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis},
  author={Kam Tong Chan and Irwin King},
  booktitle={PAKDD},
  year={2009}
}
One approach in opinion mining is to perform sentiment classification at the sentence level. User's view on a discovered product feature is predicted by the opinion words, e.g. adjectives, appeared in the same sentence. A number of previous works has been proposed and these approaches typically treat the feature and word relations identically. Blindly using sentiments of all opinion words to perform classification would lead to false results. In this paper, we investigate the relationship… CONTINUE READING
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Key Quantitative Results

  • Among all the non-combined rel functions, LHR and DIST performed the best, reaching an average F-Score of 60%.

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