Skip to content

Omunkhuush/Twitter-Sentiment-Analysis-WebApp-Using-Flask

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Twitter-Sentiment-Analysis-WebApp-Using-Flask

Description

The Twitter Sentiment Analysis Web App is a powerful tool that utilizes Flask, a lightweight web framework in Python, to analyze the sentiment of tweets. With this web application, users can enter a keyword or hashtag of interest and receive real-time sentiment analysis results.

Installation

git clone https://github.com/Omunkhuush/Twitter-Sentiment-Analysis-WebApp-Using-Flask.git
cd Twitter-Sentiment-Analysis-WebApp-Using-Flask
pip install -r requirement.txt

Get access to Twitter API

  1. click to get access to Twitter API
  2. If you get API access from Twitter, edit the .env file.

env

Copy and paste the tokens generated by Twitter into the .env file.

Run WebApp

python App.py

terminal

searchTweet

You can search for something on Twitter and see what people think about it.

For example: COVID-19

result

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published