CLUSTER ANALYZES-EMOTIONAL-WEB · 13 ENTRIES · EARLIEST ENTRY 2025-08-21
text emotion analysis apps
This cluster comprises web applications that analyze user-entered text to detect and display emotional tone, sentiment, or specific emotional categories. The cluster's dated history is too thin to read a shape from, with only 4 dated entries before the index start. Traction leaders include emolens, crush-monitor, and jev-crush, each showing 2 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 5 ai-built · 8 unlabelled
Operator · 6 hobby · 7 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 13 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01Emotion-Prediction1★19 days—hobbyWeb app that analyzes user text to predict one of six emotions, showing confidence scores and probability breakdown for each.
- 02Multimodal-Emotion-Music-Recommender0★28 days—hobbyWeb app that detects emotion from text, voice, or facial expressions and recommends music, books, and wellness exercises based on mood.
- 03text-dynamics0★19 days—hobbyDesktop app for visualizing and editing emotional and structural movement in literary texts and poetry with AI-driven semantic metrics.
- 04Sentiment-Analysis-0★27 dayslivehobbyWeb app that predicts the emotion of user-entered text using a trained machine learning model.
- 05chatpot0★1 molivehobbyInteractive multi-screen emotional web experience for a personalized surprise, with questions, responses, and an admin dashboard.
- 06sentiment-analysis-in-emergency-calls-1★6 mostaleliveai-builtWeb app that analyzes sentiment in emergency call transcripts to assess urgency and caller distress.
- 07moodidentifier0★9 mostaleliveai-builtWeb app that analyzes a photo or text input to identify and display the user's current mood.
- 08-emotion-analyzer-main1★1 yrabandonedliveai-builthobbyWeb app that analyzes text input to detect and display the underlying emotional tone or sentiment.
- 09Emotion Classification Phase 10★unknownliveWeb app that classifies emotions from user-provided text and presents the detected emotional categories.
- 10feeels0★unknownliveInteractive emotion wheel that helps users identify and articulate their current feelings by selecting from categorized emotions.
- 11Audio Sentiment Analyzer0★unknownliveWeb app that analyzes audio recordings to detect and report emotional sentiment.
- 12ToneThread – AI Emotional Tone & Sentiment Analysis0★unknownliveai-builtWeb app that analyzes text for emotional undertones and detects warmth, certainty, intensity, and tension patterns in communication.
- 13Roue des émotions & Résonance0★unknownliveai-builtAn emotion wheel tool that helps users explore their feelings and find inspirational resources.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.