Following project involves:
Using Tweepy (Official twitter api ) to collect and use tweets from login user or other users on usage basis. Like number of likes, retweets, retweeted likes, etc. using re [ regular expression module of python ] for cleaning tweets storing them in panda dataframe. in the form of timeseries plots i.e. number of likes v.s. date, using matplotlib. using TextBlob ( sentient analysis module for python ), finiding sentiments associated with tweets, whether they are positive, normal or negative directioned.