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Collect data from Twitter API using Python scripts that records the customer service interactions on major consumer electronic brands such as Apple and Samsung
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Parse Json data objects in Python and organize tweets into customer service sessions with unique customers with Pandas
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Use NLTK(Natural Language Processing toolkit) to conduct Text Mining and Sentiment Analysis
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Use Naive Bayes classifier and bag of words method to predict sentiment of a customer towards the customer service received
Unfortunately my codes are forever gone with damaged computer, and I was too inexperienced to back it up on github.