krishsharma0413/tinder-for-reviews
Labeling dataset like 🔥Tinder.
This tool helps you quickly categorize text-based feedback, like customer reviews or survey responses, by presenting them one by one for you to sort with a simple "swipe" left, right, or up. You input raw text data from a database, and the tool outputs the same data with new labels indicating positive, negative, or neutral sentiment. It's designed for anyone who needs to efficiently label large volumes of text for analysis, such as product managers, market researchers, or data scientists building sentiment models.
No commits in the last 6 months.
Use this if you need an engaging and efficient way to manually label text data for sentiment analysis, customer feedback categorization, or similar tasks.
Not ideal if you need automated text labeling, complex multi-label categorization beyond simple sentiment, or if your data is not primarily text-based.
Stars
21
Forks
1
Language
CSS
License
MIT
Category
Last pushed
Oct 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/krishsharma0413/tinder-for-reviews"
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