Sentiment analysis refers to identifying as well as classifying the sentiments that are expressed in the text source. Tweets are often useful in generating a vast amount of sentiment data upon analysis. These data are useful in understanding the opinion of the people about a variety of topics It’s also known as opinion mining, deriving the opinion or attitude of a speaker. Here, initally pre-processing of data is done that includes the stopwords removing, stemming and tockenizing followed by prediction using the logistic regression model.
Pandas, Numpy, Matplotlib
Python
Jupyter Notebook
Logistics Regression