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In this study case, we collecting the tweets related to Malaysia politics for a short period. Based on client's goal, our researchers filter out the noises (media, retweets, spams, ads...) and manually label the categories, here are Issues, Identities and Sentiments. Our machine will auto-labelling the future tweets through deep learning methods. Human intervention for accuracy less than 90%. Finally, charts and reports generated for decision making.