Twitter Sentment Analysis


Twitter Sentment Analysis Web App using #tag, words and username to fetch data finds Insides of data and Tells Sentiment of the perticular #tag, words or username.

Features Of Data Analysis Web App

  • Can Fetch upto 10000 Tweets.
  • Gives a detailed Analysis of the tweets.
  • Gives the most trending #tag, links and @mentions of the fetched tweets.
  • Gives the Overall Sentiment Analysis of the Tweets in form of graph.
  • You can download/export the tweets in form of csv file.

Check out the live demo: https://twitter–sentiment–

Vedio demo:



Use this URL – Click Me – in case if you are faccing any problem with th WebApp or source code.

Source Code: github link

How to run the project?

  1. Clone or download this repository to your local machine.
  2. Install all the libraries mentioned in the requirements.txt file with the command pip3 install -r requirements.txt
  3. Create a file name config.ini
  4. Paste the code in config.ini and insert key deatils which you will get keys here


api_key = Your Keys
api_key_secret = Your Keys

access_token = Your Keys
access_token_secret = Your Keys
  1. Open your terminal/command prompt from your project directory and run the file by executing the command streamlit run
  2. You will be automatically redirected the your localhost in brower where you can see you WebApp in live.

Architecture of your Project Home Directory


If you Use this Code for Any Commercial Purpose. Please Don’t Forget To mention or give shoutout to everydaycodings.

Donate If you fell this Web App Makes your work a bit easy.

Binance (BNB)