TwitterFeel

TwitterFeel is a web app which utilise the massive amount of data from Twitter API to analyse and retrieve in-depth information from a Twitter user account. This application will allow people to find out how active a Twitter account post their tweets, what is the sentiment for each tweet, how the sentiment moves changes across the previous months, and what are the common tweet topics from a Twitter account.

The app will return the Twitter account detail, the account’s past 100 tweets together with its sentiment, a graph of the monthly sentiment analysis, and the popular topics from their past 100 tweets. The application will immediately update this analysis once there is a new tweet posted in the Twitter account.

List of Technologies used:

• AWS Storage (S3 bucket and ElastiCache)
• ReactJS
• NodeJS and Express
• AWS EC2 Instance, Load Balancer, and Auto Scaling Group (The app used to be deployed in AWS.)

How to start:

We expect you to have a S3 bucket and an ElastiCache in AWS or a Redis cache in local computer ready before running this code.

• Place your twitter API, S3 and/or ElastiCache detail in server/.env directory.
• If using Redis in local computer, remove line 53 to 56 in fetchTwitter.js file.
• In client directory, run npm install and npm run build
• In server directory, run npm install and npm start
• Run localhost:3000 in your favourite browser.

Further Information

View the video of the web app to understand its features. This app is built in a team - a huge shoutout to my teammate.