Twitter Sentiment Analysis with Tensorflow.js

Connect to Twitter API, gather tweets by hashtag, compute the sentiment of each tweet, and build a real-time dashboard to show the result.

https://bensonruan.com/twitter-sentiment-analysis-with-tensorflowjs

1. Clone this repository to your local computer

git https://github.com/bensonruan/Sentiment-Analysis.git

2. On Twitter developer platform https://developer.twitter.com/

• Register a Twitter dev account
• Create a Twitter App
• Get the Consumer API keys and Access tokens
• Replace your API keys in queryTwitter.php

3. Config your path to the queryTwitter.php inside sentiment-analysis.js and sentiment-analysis-bundle.js

queryTwitter:  window.location.protocol + '//'+ window.location.hostname + '/js/sentiment/queryTwitter.php?q='

4. Point your localhost to the cloned root directory. Browse to http://localhost/index.html

If you are on Windows, you would need to install PHP via Web Platform Installer

• twitter-api-php - PHP Wrapper for Twitter API v1.1 calls
• jquery - JQuery
• tensorflow.js sentiment - Perform text sentiment analysis on text using the Layers API of TensorFlow.js
• canvasjs - JQuery chart library