Inspiration

Fannie Mae's Challenge & global climate change (WE NEED TO ACT!)

What it does

It is an overview analysis on the sentiment average score for r/climatechnage posts from 2010-22

How we built it

I built it using python and packages like TextBlob & SpaCy

Challenges we ran into

This is my first time ever using python, it was a challeneg but im so thankful for all the things I learned. My computer also is very limited, and couldn't run big datasets

Accomplishments that we're proud of

I am proud that I got most of it done, and depsite technical setbacks we were able to push through.

What we learned

How to use SpaCy & TextBlob

What's next for Climate Change Sentiment Analysis

I would like to do this process again with comments from r/climatechange from 2010-2022 and see how their scores comapre

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