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Twitter US Airline Sentiment
Analyze how travelers in February 2015 expressed their feelings on Twitter
This is a dataset having tweets about six US Airlines along with their sentiments: positive, negative and neutral. You are provided with this dataset named “Tweets.csv”. It has tweets in ‘text’ column and sentiments in
airline_sentiment column.
Objective:
Extract all verb phrases from their dataset and save them in different lines in a file named “Verb Phrases for < airline_sentiment > Review .txt” (You can choose your own grammar for noun phrase). Here airline_sentiment >
will have three different values: positive , negative, and neutral. Hence, three files will be created.
For each sentiment, make a well labeled pie chart showing the distribution of noun phrases and verb phrases of that sentiment from the data set. Use the files created above to get the frequencies.