Aim of this project was to analyzing and vizualizing real twitters from users. These twitters are in "Twitter Data/Train2017.tsv" folder. After Analyzing and Visualizing these tweets which they had an attribute label (positive, negative, neutral) the aim was to train a machine with these set of tweets.Afterwatds with another set of tweets ("Twitter Data/test.tsv") which their label was blank, the trained machine should be able categorize the sentiment of each tweet. The source code with the results of this project are in "Final.ipynb
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Analyzing ,Visualizing and Categorizing Tweeters in order to determine whether their attitude was positive, negative or neutral
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