Twitter Sentimental Analysis

Simple twitter sentimental anlaysis to demonstrate sentiment using textblob and integrating dash core components and http requests.

Demo Link

click Twitter Sentimental analysis to see the demo.

quick demo

Contents

• app.py - Front and back end portion of the web application
• models - it contains sentimental analysis script .
• pred- conatins sentimental prediction file for twitter #hastag, which we submitted for prediction.
• src- contains raw data file extracted from twitter using tweepy,credential file for twiier account(excluded from git code for security), twiiter extractor script .

Installation

• Download the entire repository as a folder and open app.py and run it with IDE . That's it! http://127.0.0.1:5001/

Directory Tree

├─ .gitignore
├─ app.py
├─ app_view.PNG
├─ model
│  ├─ text_blob.py
│  └─ __pycache__
│     └─ text_blob.cpython-36.pyc
├─ pred
│  └─ sentiment_#coronavaccine.csv
├─ README.md
├─ requirements.txt
└─ src
   ├─ raw_data
   │  └─ tweet_#coronavaccine.csv
   └─ tweet_extractor.py

Source:

• https://dash.plotly.com/basic-callbacks
• https://developer.twitter.com/en