Sentiment analysis of Reddit threads using BERT models

jbarti2 pts1 comments

ThreadMood Dashboard — Live Reddit Emotion Analysis

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Headline insight

This thread reads as<br>mixed, led by ,<br>with a net sentiment of<br>0.00.

0 comments analyzed · in · r/

Analyzed

Positive<br>0%<br>0 comments

Neutral<br>0%<br>0 comments

Negative<br>0%<br>0 comments

Net sentiment<br>0.00

Emotion mix

by sentiment group

Mood over time

avg sentiment · comment volume

Sentiment vs upvotes

are the loud ones angry?

Emotion breakdown

7 emotions

😊Positive keywords

No strong positive keywords yet.

😠Negative keywords

No strong negative keywords yet.

Most impactful comments

Top positive

No positive standout yet.

Top negative

No negative standout yet.

Comment explorer

of comments

All sentiment<br>Positive<br>Neutral<br>Negative

😊 Joy<br>😲 Surprise<br>😨 Fear<br>😢 Sadness<br>🤢 Disgust<br>😠 Anger

min ↑

Keyword

Emotion<br>Comment<br>Author<br>Upvotes<br>Score

= 0 ? '#22c55e' : '#ef4444')" x-text="fmtScore(c.sentiment_score)">

No comments match these filters.

explorerLimit" class="border-t border-slate-200 p-4 text-center dark:border-white/10">

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Post

Subreddit

Author

Upvotes

Upvote ratio

Comments

Open on Reddit

Key insights

Insights appear when the analysis completes…

No summary insights for this analysis.

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