Sentiment Analysis of Twitter
2016-08-23
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These sentiments flow through the network which in turn creates the
sentiment of a community. With the tremendous amount of information flowing in
the network, it gives us the opportunity to analyse behaviour of social media
during a period of anxiety. These behaviours differ for different demographics
with respect to an event, which can be analysed from different standpoints.We found patterns according to different parameters like events, time
etc. which were quite satisfactory. We have also done analysis on the overall
mood of Twitter.Collected real time tweets using Twitter's Public Stream API (POST
status/filters) through tweepy (Python's open source library) ,
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