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This app extracts last 100 tweets of the user's by their username on twitter, it then predict the user Depression, it also creates a word cloud of their tweets.

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harshit-wadhwani/Depression-analysis-using-tweets

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Depression Analysis using tweets

NOTE :- Twiter api has been deprecated and so is this project, that means it does not work anymore.

This app extracts last 100 tweets of the user by their username, it than predict the user Depression, it also creates a word cloud of their tweets.

Installation

Go to the Depression Analysis using tweets folder and run

pip install -r requirements.txt

[python version 3.8 Recommended]

you must download the trained_model.h5 file from the google drive link to run the project successfully.

Run Locally

Go to the Depression Analysis using tweets folder and run

streamlit run app.py

Screenshots

UI App Screenshot

some predictions

App Screenshot App Screenshot App Screenshot App Screenshot

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🔗 Links

linkedin twitter

Feedback

If you have any feedback, please reach out to us at [email protected]

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This app extracts last 100 tweets of the user's by their username on twitter, it then predict the user Depression, it also creates a word cloud of their tweets.

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