r/Showerthoughts top of all time sentiment analysis
Project Purpose
The goal of this sentiment analysis is to understand public perception regarding the subreddit, based on data collected using the Reddit Scrapper API. I analyzed the top posts of all time in the subreddit r/Showerthoughts.
Methodology
Data Collection: Using the Reddit Scrapper API, focusing on the TOP posts of ALL TIME
Sentiment Analysis Tool: Sentiment analysis was conducted using VADER, a lexicon-based tool that evaluates text for positive, neutral, and negative sentiment.
Key Metrics and Visualization
Visualization
Most Positive & Negative Posts
Most Positive Title : College students don’t want to go to graduation ceremonies, but they go to please their relatives, while relatives don’t want to go but go to support the students; we should all just be honest and skip that ceremony and go out for pizza.
Most Negative Title : We all think of Gordon Ramsay as an extremely picky food critic/chef but if your life’s work was cooking and you saw a narcissistic restaurant manager breaking health code violations and making horrible food, you’d be pretty angry too.
Conclusions & Recommendations
- Summarize Key Findings: The community’s sentiment is predominantly positive, with spikes in negativity tied to specific events.
- Actionable Insights: None. the TOP of all time is based upon people voting one ↑ upvote ↓ downvote system. the posts here are entirely random by each user.
- Future Considerations: For deeper insights, sentiment analysis could be extended to include user comments or posts score.
Process
The Whole process is also seen on my Github Repo page link down below!