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Sentiment Analysis

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Sentiment Analysis – recognising positive and negative attitudes expressed in text – has become a very popular application of computational linguistics techniques, spawning a large number of startups, and generating a lot of commercial interest. In this talk I summarise recent research and trends in sentiment analysis, look at some relatively novel applications, and also critically examine various claims that have been made about the role of sentiment analysis in tasks like stock market prediction and election result forecasting. 

This talk is part of the Computer Laboratory Wednesday Seminars series.

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