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!