Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds

@inproceedings{Refaee2014EvaluatingDS,
  title={Evaluating Distant Supervision for Subjectivity and Sentiment Analysis on Arabic Twitter Feeds},
  author={Eshrag Refaee and Verena Rieser},
  booktitle={ANLP@EMNLP},
  year={2014}
}
Supervised machine learning methods for automatic subjectivity and sentiment analysis (SSA) are problematic when applied to social media, such as Twitter, since they do not generalise well to unseen topics. A possible remedy of this problem is to apply distant supervision (DS) approaches, which learn from large amounts of automatically annotated data. This research empirically evaluates the performance of DS approaches for SSA on Arabic Twitter feeds. Results for emoticonand lexiconbased DS… CONTINUE READING
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Twitter sentiment classification using distant supervision

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