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NewJev Telegram Classifier
A local web app classifies exported Telegram posts and conversations by intent, quality, sentiment, topic, and tone.
Added to Jevfast
How it uses Jev
The app analyzes exported Telegram JSON. The post lists post intent, quality, sentiment, reaction tone, and, for chats, topic, intention, emotion, and per-speaker tone. It says questions and choices are configurable.
App workflow
- Export data
Export channel or conversation data as JSON.
- Configure classifier
Adjust Jev questions and choices in settings.
- Analyze messages
Classify posts and, for chats, analyze topics and emotion with per-speaker tone summaries.
- Review results
Use the local web app’s analysis of the exported dataset.
Why it is interesting
Configurable questions and choices let users adapt the same classification workflow to different Telegram content needs.