Inspiration : Election is the hot topic now. We thought analysing the user opinion based on their tweets.

What it does

Sentiment analysis and depiction of user opinion about a topic based on the tweets by the users. We show a gradient map depicting the temperature of the user opinion. Infrastructure:

How we built it

It is a Stanalone Java application, which users twitter4j to fetch the live tweets by the user on specific topics and specific Hashtags.

  • The data is persisted in a Database hosted on an MS Azure VM running a MYSQL server.
  • The tweets are analysed for positive or negative opinion about a topic(say elections) using the stanford core NLP API.
  • These opinions are rated on a scale for the users at specific locations and shown on the map using D3.js API.

Challenges we ran into

Sentiment analysis tools were not that accurate.

Accomplishments that we're proud of

What we learned

What's next for Voter Sentiment Analysis using twitter data

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