Tired of labelling your dataset the boring way? Introducing Tinder for Reviews. Now label your dataset as if you are scrolling on tinder!

A demo of how the works.

pip install -r requirements.txt

1. line 33 in app.py creates a user with the username admin and password admin. Change this to your desired username and password.
2. line 42 in app.py creates sample data for 10k reviews.

You can also use for feedback and postinformation tables yourself to add the data you like and configure the database.

INSERT INTO feedback (id, review_content, positive, negative, neutral, polarity) VALUES (?, ?, ?, ?, ?, ?)

INSERT INTO postinformation (id, creation, link, source) VALUES (?, ?, ?, ?)

python main.py

and open http://localhost:8000 in your browser.

• right swipes or green button = positive.
• left swipe or red button = negative
• white button "neu" = neutral

Usecase: You can use this to label your dataset for sentiment analysis, feedback analysis, etc in a fun way.