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Twitter Sentiment Web-app

Web-App that can scrape tweets from twitter and provide valuable insights on the tweet data

Python 3.8 Django 3.2.4 Sns-Scrape MIT license

GitHub issues GitHub issues-closed GitHub pull-requests GitHub pull-requests closed

Dashboard

Dashboard GIF

Tweets

Imgur


Table of Contents


Installation

  • All the code required to get started

Clone

  • Clone this repo to your local machine using https://github.com/nikitperiwal/sentinel

Setup

  • If you want more syntax highlighting, format your code like this:

now install npm and bower packages

$ npm install
$ bower install

Features

  • Scrape tweets about any topic or trending hashtag over a period of time.
  • Get addition information about the tweet such as: likes, follows, replies
  • Perform sentiment analysis on the tweet scraped and see trends of sentiment over time.
  • Download the scraped data, along with additional metadata.
  • Visualise the data and sentiment.

Contributing

Step 1

🍴 Fork this repo!

Step 2

HACK AWAY! 🔨🔨🔨

Step 3

🔃 Create a new pull request using 'https://github.com/nikitperiwal/sentinel/pulls'


Support

Reach out to me at one of the following places!


License

MIT license

About

Sentinel allows its users to scrape tweets about a product or topic and gain valuable insights with the help of Data Visualisation.

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