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.
- 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--analysiss.herokuapp.com/
Use this URL - Click Me - in case if you are faccing any problem with th WebApp or source code.
Source Code: github link
- Clone or download this repository to your local machine.
- Install all the libraries mentioned in the requirements.txt file with the command
pip3 install -r requirements.txt - Create a file name
config.ini - Paste the code in
config.iniand insert key deatils which you will get keys here developer.twitter.com
[twitter]
api_key = Your Keys
api_key_secret = Your Keys
access_token = Your Keys
access_token_secret = Your Keys
- Open your terminal/command prompt from your project directory and run the file
app.pyby executing the commandstreamlit run app.py. - You will be automatically redirected the your localhost in brower where you can see you WebApp in live.
If you Use this Code for Any Commercial Purpose. Please Don't Forget To mention or give shoutout to everydaycodings.
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