Some design thoughts

Tomer touched on this during our presentation. We need to figure out the exact schema for our database.

Currently:
Id, Team 1, Team 2, Score 1, Score 2

Add:
User name
Time


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Other design decisions

How do we determine if a person is a fan of a certain team?

1. The person mentions one team more than any other team.

This probably indicates strong emotions. However, it might be possible for someone to tweet a lot about a team that they hate.

With this information in hand, we can analyze the moods of tweets and cross reference them with actual events.

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Ideas

1. Predicting which athlete composed the tweets?
Doesn't seem that interesting
2. Predicting what a certain person's tweets would be or
creating a tweet someone would write?
Already done with tofu_product
3. Gambling line prediction
Analyzing the twitter world to figure out the best gambling line.
Doesn't really have a strong NLP aspect to it.
Regardless, a seemingly cool idea.
https://www.cs.cmu.edu/~nasmith/papers/sinha+dyer+gimpel+smith.mlsa13.pdf
4.