Language-Independent Twitter Sentiment Analysis

@inproceedings{Narr2012LanguageIndependentTS,
  title={Language-Independent Twitter Sentiment Analysis},
  author={Sascha Narr and Michael H{\"u}lfenhaus and Sahin Albayrak},
  year={2012}
}
Millions of tweets posted daily contain opinions and sentiment of users in a variety of languages. Sentiment classification can benefit companies by providing data for analyzing customer feedback for products or conducting market research. Sentiment classifiers need to be able to handle tweets in multiple languages to cover a larger portion of the available tweets. Traditional classifiers are however often language specific and require much work to be applied to a different language. We analyze… CONTINUE READING
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