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Presentation: Lesson 14 - Sentiment Analysis

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    In this session, we will be taking a closer look at one of the most popular semantic techniques currently in use, Sentiment Analysis. This is most often a supervised Machine Learning task which uses pure word extraction, term weighting, and classification to predict whether a text document is positive or negative. However, as we see in some of this session's readings, there has also been research into using unsupervised Machine Learning, as well as taking into account various aspects of language - such as parts-of-speech and semantic frames.

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Sean Dolan


College of Communication and Information Library & Information Science

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