Twitter Sentimental Analysis

Machine learning based model used to predict the sentiment of a particular tweet by analysing

Modules:

• Pandas
• Numpy
• Matplotlib
• Seaborn
• String
• NLTK
• WordCloud
• Sklearn

Steps involved:

• Pulling test data from csv.
• Remove all @user from the tweets.
• Tokenizing each tweet and finding stem word for eachone.
• Remove small distubencies such as verb and propositions.
• Developing different word clouds for positive & negative tweets.
• Extracting hashtags and analysing them.
• Developing differnet models for prediction and evaluating accuracy score for better understanding.