Twitter_Sentimental_Analysis

TechStack:-

• Tweepy
• TextBlob
• Numpy
• Pandas
• re
• WordCloud
• Matplotlib

About Project:-

• Used the twitter api to extract tweets from the platform.
• Cleaned the tweets for any potential data error, as well as removed filler words and other unwanted string contents.
• Implemented WordCloud and Matplotlib to visualize the data, and get better insights about the data content.
• Executed function of Textblob library, to get the polarity of the tweets, which defines their sentiment.
• Used function in Textblob library, to also get the subjectivity of the tweets, which defines whether they are a fact or a personal opinion.

Results:-

Implementing above process on Bill Gate's Tweets as seen in jupyter notebook, we conclude that his tweets are mostly positive personal opinions.