Headline takeaway
Where the thread stands, in one sentence: dominant mood and net score.
Live emotion streaming
Read the mood of any Reddit thread.
Reddit sentiment & emotion analysis that shows how a whole community feels — in minutes.
Big threads are impossible to skim, and one number hides the story. Paste any public Reddit link and read the room. Free.
- 7
- emotions scored
- 1.5k
- comments per run
- live
- never a frozen page
This thread reads as mixed, with a net score of 0.00.
0%
positive
How it works
Reddit sentiment analysis in three steps
Paste a URL. Watch it build itself, comment by comment.
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01
Paste a link
Any public Reddit post URL. ThreadMood pulls the full comment tree through the official API.
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02
Every comment gets scored
A fine-tuned model scores each comment across seven emotions, then rolls them into one net sentiment score you can trace.
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03
Read the room
Charts and tables fill in live — the page never freezes. Headline first, then keywords, timelines, and the loudest comments.
What you get
Every angle on how a Reddit thread feels
Linked views that turn Reddit comment sentiment into an explorable story. Each fills in live.
Emotion mix donut
The positive, neutral, and negative split at a glance, colored by emotion.
Mood over time
Pinpoint the moment a conversation turned, with comment volume underneath.
Sentiment vs upvotes
Are the most-upvoted comments the angry ones, or the kind ones?
Topic keywords
The words fuelling the mood, split into positive and negative chips.
Most impactful comments
Jump to the comments that carried the room, ranked by emotion and reach.
Sample insight
A thread's feelings, in one ribbon
A real 540-comment thread on EU chat-control laws. Anger and fear lead, yet surprise and joy cut through — the story a single score would erase.
See it live in the dashboard“This thread leans negative — driven by anger and fear about surveillance — yet the most-upvoted comment is a hopeful one. Net sentiment: −0.31.”
Emotion breakdown · 540 comments
net −0.31
- 😠Anger31%
- 😨Fear18%
- 😐Neutral16%
- 😢Sadness12%
- 😲Surprise11%
- 😊Joy8%
Who it's for
Who uses Reddit sentiment analysis
Stop guessing how a community feels. Here's who reaches for ThreadMood, and why.
Community managers & mods
Catch a thread turning hostile before it spirals, and see whether an announcement landed.
Marketers & brand teams
Analyze Reddit comments on a launch or competitor post to hear the unfiltered reaction.
Researchers & students
A transparent emotion dataset with a named model, so you can cite the method.
Journalists
Quantify how a community reacted, and pull the most impactful comments as quotable evidence.
Product & UX teams
Turn a feedback or bug thread into signal: which pains carry the most weight, and what to fix first.
The merely curious
Found a wild thread? Drop the link and read its mood in seconds. Free — or leave the box blank for a sample.
Why ThreadMood
Reddit sentiment analysis, reimagined as a live story
Most tools make you wait, then return one percentage from a black box. A thread has an emotional arc — ThreadMood lets you watch it unfold and see how the score was reached.
Live, per-comment streaming — never a frozen page
Results arrive comment by comment, and the charts fill in as they land. No blank loading screen — you read the story as it's written.
Transparent 7-emotion model, explainable score
All seven emotions, named — not a black-box mood label. The net score is built from them, so you always see why a thread reads the way it does.
Per-thread depth, not just a headline number
One thread opens into mood over time, sentiment vs upvotes, top comments, and keywords by reaction. Explorable, not one flat gauge.
Free, private, and shows its work
Free, and only reads public Reddit data through the official API — it never posts or votes. Every score is traceable, not a black box.
Kept deliberately focused: one thread at a time, with a cap on very large discussions so streaming stays smooth. No PDF exports, whole-subreddit monitoring, or chat assistant — we'd rather say so than pretend. What it does, it does clearly: analyze a Reddit thread's emotions live, and share the result with a link.
Built by
Josip Bartulović
Data Specialist · Automation Enthusiast · Tech Nerd — Sibence Digital
I make data easy to find, trust, and use. At Sibence Digital I help teams automate the busywork and ship data products that drive growth — ThreadMood is one of them.
FAQ
Questions, answered
Read the room before you weigh in
Paste a Reddit link and know how the community really feels in minutes — the story behind the votes, not just the top comments. Free, on any public post.