Sentiment analysis on Italian tweets

@inproceedings{Basile2013SentimentAO,
  title={Sentiment analysis on Italian tweets},
  author={Valerio Basile and Malvina Nissim},
  booktitle={WASSA@NAACL-HLT},
  year={2013}
}
We describe TWITA, the first corpus of Italian tweets, which is created via a completely automatic procedure, portable to any other language. We experiment with sentiment analysis on two datasets from TWITA: a generic collection and a topic-specific collection. The only resource we use is a polarity lexicon, which we obtain by automatically matching three existing resources thereby creating the first polarity database for Italian. We observe that albeit shallow, our simple system captures… CONTINUE READING
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