“Sentiment Analysis in Twitter” the goal of the project is to develop an automated machine learning system for sentiment analysis in social media texts such as Twitter. The students should collect experimental data on their own using the twitter API, they will manually annotate the collected tweets, measure the Kappa agreement of their annotations, provide analysis of the data and then focus on building the machine learning classifier(s) using the toolkits already discussed in class. The students will study the effect of different features and feature combinations and will deliver a system capable of identifying the sentiment in the tweets. The project will consist of 2 people.
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