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Sentiment analysis of twitter data
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Association for Computational Linguistics, Stroudsburg, PA, USA
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Sentiment analysis using sentiment features
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Atlanta, USA
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Building a sentiment summarizer for local service reviews
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Pulse mining customer opinions from free text
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September 08-10, Madrid, Spain
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Determining negation scope and strength in sentiment analysis
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9-12 Oct
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From tweets to polls linking text sentiment to public opinion time series
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North America, may
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Twitter as a corpus for sentiment analysis and opinion mining
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A sentimental education sentiment analysis using subjectivity summarization based on minimum cuts
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Barcelona, Spain
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Thumbs up? Sentiment classification using machine learning techniques
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Association for Computational Linguistics, Stroudsburg, PA, USA
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Pang, B., Lee, L., and Vaithyanathan, S., Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10 (EMNLP '02), Vol. 10. Association for Computational Linguistics, Stroudsburg, PA, USA, 79-86, 2002.
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Automatic sentiment monitoring of specific topics in the blogosphere
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Barcelona, Spain, September
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Using emoticons to reduce dependency in machine learning techniques for sentiment classification
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A survey on sentiment detection of reviews, expert systems with applications
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Sentiment strength detection in short informal text
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