Skip to content

AnshulRaghav/DepressionDetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Detecting depression in comments,tweets or any form of text using NLP.

Screenshot

Social media platforms are becoming an integral part of people’s life. They reflect user’s personal life. People likes to share happiness, joy and sadness on social media. These platforms are used for researchers to identify the causes of depression and detect it.

How to use

  • clone the repository
  • install necessary packages via pip
  • run app.py in root directory
  • enter text in textbox


Note: You have to install java sdk

Tools used

  • Data Collection: Python, Praw, Requests, and Pandas.

  • Analysis: Python, PySpark, VADER Sentiment Analysis, and Pandas.

  • Visualization: Python, Flask, Wordcloud, WTForms, Bootstrap, HTML, CSS.

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published