Alright, so check it – today I’m spilling the beans on my little side hustle, diving into some data with “gervonta davis jake paul”. Yeah, sounds random, but trust me, there’s a method to my madness.
First things first, what was the goal? Basically, I wanted to see if there’s any correlation between the public’s buzz (or lack thereof) around Gervonta Davis and Jake Paul. Are they talked about in the same circles? Does interest in one affect interest in the other? Purely out of curiosity, you know?
Here’s how I kicked things off:
- Data Scraping, Baby! I spent a solid chunk of time scraping data from Twitter (X), Reddit, and Google Trends. I used some Python scripts, nothing too fancy, just the usual BeautifulSoup and Tweepy libraries. I wanted a good spread, not just one platform skewing the results.
- Cleaning House. Oh man, the data cleaning. This was the real grind. Removing duplicates, getting rid of bots, standardizing the date formats… you name it, I did it. Python and Pandas were my best friends here.
- Keyword Analysis. I needed to filter for relevant content. Anything that mentioned “Gervonta Davis” OR “Jake Paul” went into the pile. I even added some variations like “Tank Davis” and “Problem Child” to cast a wider net.
- Sentiment Analysis. This was the juicy part. I used a pre-trained sentiment analysis model (VADER, specifically) to gauge the overall sentiment of the mentions. Was the public hyped? Angry? Indifferent?
- Correlation Time. Finally, I crunched the numbers. I looked for correlations between the volume of mentions for each fighter, as well as the sentiment scores.
What Did I Actually Find?
Okay, so here’s the gist. There is some correlation, but it’s not as strong as I initially thought. When one fighter has a big fight coming up, the chatter around the other tends to increase slightly. This is probably just due to people discussing the sport of boxing more generally.
Here’s the breakdown:
- Volume of Mentions: A weak positive correlation. If Jake Paul’s name is trending, Gervonta Davis’ name is slightly more likely to be trending as well, and vice versa.
- Sentiment Analysis: This was more interesting. There’s a slight negative correlation between the sentiment scores. When people are generally feeling positive about Jake Paul (maybe after a win), they tend to be slightly less positive about Gervonta Davis, and again, the reverse is true. This could be due to the rivalry factor. Fans tend to pick sides.
The Takeaway?
Ultimately, it was a fun little project. I learned a ton about data analysis, and I got to indulge my inner boxing fan. While the correlation wasn’t earth-shattering, it was still cool to see how the public’s perception of these two fighters interacts. Plus, I sharpened my Python skills, which is always a win.
What’s Next?
I’m thinking of expanding this project. Maybe I’ll add more fighters to the mix, or incorporate data from betting sites. The possibilities are endless. But for now, I’m calling this one a wrap. Later!
