CatDogPerson

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  catanddog

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Inspiration

Cats vs dogs are two polar opposites.

What it does

It takes twitter data. (could be from api, could be scrapped, could be manually inserted tweets), it then runs through every tweet and based on its semantic similarity of word 'cat', individual score for each tweet is calculated. Then we average all the tweet scores and see if dog's or cat's score is larger, and then display the result.

How I built it

We divided the whole task into multiple parts, and started working on them based on the priority and dependance.

Challenges I ran into

Didn't have enough time for our last step of using twitter api.

Accomplishments that I'm proud of

I'm happy the way we worked. We separated workload well. I'm also glad that I got to help out my members and learned a lot by doing that too.

What I learned

Learned how to combine various different projects in order to process data that I want. Learned how to make gui in python. How to plan for things.

What's next for CatDogPerson

We were only deciding based on tweets, next thing that we'll do is basing it on some other interesting factors, especially if they are language processing related.

Built With

• pycharm
• python