Sentiment Analyser Bot

What is it?

A chatbot, which analyses polarity of recent tweets of some given twitter handle. It classifies sentiment of the tweets into negative, neutral or positive calibre. (replies in the range of -1 to +1)

How it works?

• The core of this project lies in the trained ML model of TextBlob module, which does our amazing work of Natural Language Processing of tweets.
• Tweepy fetches required tweets at real time.
• Flask handles the backend of our chatbot.
• Ngrok hosts our bot on https server temporarily.

Prerequistes:

• Python 3.7
• Flask
• Twitter API
• Tweepy
• TextBlob
• Telegram bot API
• Numpy
• ngrok

How to create your own bot and use it?

• Clone this repository
• Download ngrok into this project directory: https://ngrok.com/download
• Add your twitter API credentials in twitter_credentials.py file
• Now, fire up the terminal and type the following:

username@username-PC: ~/myrepository$ ./ngrok http 5000

• Add your telegram bot token in config.py file
• Add your ngrok https URL (as obtained in the terminal output) in config.py file
• Run the Flask server:

username@username-PC: ~/myrepository$ python3 app.py

There you go !!!

Go ahead, play with your bot!