Self-training from labeled features for sentiment analysis

@article{He2011SelftrainingFL,
  title={Self-training from labeled features for sentiment analysis},
  author={Yulan He and Deyu Zhou},
  journal={Inf. Process. Manage.},
  year={2011},
  volume={47},
  pages={606-616}
}
Sentiment analysis concerns about automatically identifying sentiment or opinion expressed in a given piece of text. Most prior work either use prior lexical knowledge defined as sentiment polarity of words or view the task as a text classification problem and rely on labeled corpora to train a sentiment classifier. While lexicon-based approaches do not adapt well to different domains, corpus-based approaches require expensive manual annotation effort. In this paper, we propose a novel… CONTINUE READING
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