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Packed Feelings and Ordered Sentiments: Sentiment Parsing with Quasi−compositional Polarity Sequencing and Compression

Abstract:

Recent solutions proposed for sentence- and phrase-level sentiment analysis have reflected a variety of analytical and computational paradigms that include anything from naïve keyword spotting via machine learning to full-blown logical treatments, either in pure or hybrid forms. As all appear to succeed and fail in different aspects, it is far from evident which paradigm is the optimal one for the task. In this paper, we describe a quasi-compositional sentiment learning and parsing framework ...

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Host title:
Proceedings of the 1st Workshop on Computational Approaches to Subjectivity and Sentiment Analysis (WASSA 2010) at the 19th European Conference on Artificial Intelligence (ECAI 2010)
UUID:
uuid:1de371df-8933-45d2-a6f0-f2f3473d2170
Local pid:
cs:3674
Deposit date:
2015-03-31

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