GitHub - Michael-Kireev/Natural-Language-Processing: I filtered, cleaned, and organized tweets to create a data frame with relevant words. This data frame was analyzed for most used words, words associations, and polarity of words. Combination of these methods helps to create the full image of customers’ opinion about a specific product or event for its improvement.

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I filtered, cleaned, and organized tweets to create a data frame with relevant words. This data frame was analyzed for most used words, words associations, and polarity of words. Combination of these methods helps to create the full image of customers’ opinion about a specific product or event for its improvement.