NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets

@inproceedings{Zhu2014NRCCanada2014RI,
  title={NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets},
  author={Xiao-Dan Zhu and Svetlana Kiritchenko and Saif Mohammad},
  booktitle={SemEval@COLING},
  year={2014}
}
This paper describes state-of-the-art statistical systems for automatic sentiment analysis of tweets. In a Semeval-2014 shared task (Task 9), our submissions obtained highest scores in the term-level sentiment classification subtask on both the 2013 and 2014 tweets test sets. In the message-level sentiment classification task, our submissions obtained highest scores on the LiveJournal blog posts test set, sarcastic tweets test set, and the 2013 SMS test set. These systems build on our SemEval… CONTINUE READING
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