This project utilizes text mining tools to tokenize text and train classifier. By applying classification models on the testing data, we are able to evaluate the performance of the model generated before. After that, twitter users’ timeline can be retrieved to analyze their interests. Besides, more complicated applications such as recommended group and common interests can be achieved.
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This repo contains the java files for sentiment analysis of twitter data, the tweet corpus has also been attached with the "full" suffix file for creating the dictionary and the "test" suffix file for validation,user can enter the network configuration
Public repository.
Repository for demos used live during presentations
Mining Twitter User Timeline Using R