Twitter Sentiment Analysis

Inspiration

We will get to know the thought process of the public, using the tweets available on Twitter.

What it does

It will analyze and visualize the Twitter polarity based on the negativity or positivity or neutrality of the tweets and what people are thinking about the electives for the elections.

How we built it

We have used two methods in python, using VADER and TEXT BLOB, where we use the functions to analyze the polarities and visualize them in graphs.

Accomplishments that we're proud of

We have analyzed the tweets and by using data visualization we are able to provide a better analysis for people and voters, who can check our visualizations and come to a conclusion where they can decide on whom they should cast their vote.

What we learned

we have learned new concepts of sentiment analysis and different ways of analysis where we can use different models to give better conclusion for the elections.

What's next for Twitter Sentiment Analysis For Elections

We can include sarcastic polarity-based tweets which will provide us the better results.

Built With

• election
• python
• sentiment-analysis
• twitter