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
Built With
- powerbi
- powerpoint
- python
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