Transcription of Twitter Sentiment Analysis Introduction
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Twitter Sentiment Analysis Introduction
Alec Go Huang Bhayani - Final Project ReportJune 6, 2009, 5:00PM (3 Late Days) Twitter Sentiment AnalysisIntroductionTwitter is a popular microblogging service where users create status messages (called"tweets").These tweets sometimes express opinions about different purpose of this project is to build an algorithm that can accurately classify Twittermessages as positive or negative, with respect to a query hypothesis is that wecan obtain high accuracy on classifying Sentiment in Twitter messages using machinelearning , this type of Sentiment Analysis is useful for consumers who are trying to researcha product or service, or marketers researching public opinion of their SentimentFor the purposes of our research.
Twitter Sentiment Analysis ... conditional independent to other features given the class. That is, where c is a specific class and t is text we want to classify. P(c) and P(t) is the prior ... After calculating MI score, only top k features with highest scores will be picked for feature
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