Twitter is a wonderland with rich user-based content, when you are interested in another user it takes time to really understand the insight and behavior of the user. This project can help people gain insight and observe the user's behavior.

What it does

It can analyze the user's tweets, map the topics with graph analytics, and give recommendations of the same users that are related to the observed user.

How we built it

We at this stage only use python as our base of the analysis and use Twitter API to get the tweets data.

Challenges we ran into

The time is quite limited as we only know this challenge not too long ago.

Accomplishments that we're proud of

We got the idea and can do the analysis through our app.

What we learned

There are a lot of possibilities that we can do with Twitter data, however, the execution needs experience and effort.

What's next for Twitter User Insight and Behavior Observation (TWIBON)

We want to make sure this is really useable to the user.

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