We only used open source data and tools for this project

This repository contains the work of Team 3dPy, for the Sony PlayStation Hackathon. The focus is on performing sentiment analysis of PlayStation-related blog posts and social media content. The data used in this project is publicly available and it's acquisition generally complies with all relevant web scraping guidelines and robots.txt files. Also, this was fun 😄. Not breaking any laws here 🚓

To conduct sentiment analysis of public posts and comments from various social media sites. This analysis centers around PlayStation-related content (games, posts, features, consoles, subscriptions, etc), providing insights into public sentiment and engagement. We use the natural language toolkit (NLTK) to perform sentiment analysis on the data. The results are then visualized using matplotlib and renders in our app.

The data for this project was collected from the following sources:

• PlayStation Blog 🟢
• Reddit 🟢
• Metacritic 🟢
• IGN 🟢

Notes: We didn't have funds to pay larger social medial sites thousands of dollars for a developer account to use their APIs, so we only went back 1 calendar year, to not scrape too much of their data. We wanted to respect their data collection, while still being able to enjoy the challenge of a good ol' Hackathon.

We also batched the requests to not overload any services. Plus, we are only talking about > 100 mbs of data, so it's not like we are scraping the entire internet. 😉

• Django App Framework
• Beautiful Soup
• Selenium
• Pandas
• Requests
• NLTK
• Matplotlib
• various other Python libraries for convenience

• Jesus Gonzalez
• Ahmed Raza

This project is for learning and demonstration purposes only around a friendly Hackathon. It is not intended for commercial use. All data used in this project is publicly available and does not include any proprietary Sony PlayStation data. The data are limited to the last 12 months, 2022-2023.