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--analysiss.herokuapp.com/

Vedio demo:

Note

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?

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.ini and 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

5. Open your terminal/command prompt from your project directory and run the file `app.py` by executing the command `streamlit run app.py`.
6. You will be automatically redirected the your localhost in brower where you can see you WebApp in live.

## Architecture of your Project Home Directory
<p><img  alt="GIF" src="https://github.com/everydaycodings/Twitter-Sentimental-Analysis-WebApp/blob/master/presentation/pic1.png" width="240" height="410" /></p>

### If you Use this Code for Any Commercial Purpose. Please Don't Forget To mention or give shoutout to [everydaycodings](https://github.com/everydaycodings).

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

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everydaycodings / Twitter-Sentimental-Analysis-WebApp

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