Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity

@inproceedings{Yoshida2011TransferLF,
  title={Transfer Learning for Multiple-Domain Sentiment Analysis - Identifying Domain Dependent/Independent Word Polarity},
  author={Yasuhisa Yoshida and Tsutomu Hirao and Tomoharu Iwata and Masaaki Nagata and Yuji Matsumoto},
  booktitle={AAAI},
  year={2011}
}
Sentiment analysis is the task of determining the attitude (positive or negative) of documents. While the polarity of words in the documents is informative for this task, polarity of some words cannot be determined without domain knowledge. Detecting word polarity thus poses a challenge for multiple-domain sentiment analysis. Previous approaches tackle this problem with transfer learning techniques, but they cannot handle multiple source domains and multiple target domains. This paper proposes… CONTINUE READING
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