jaredborders / moodbird

MoodBird is an iOS app that pulls tweets from twitter via their REST API and uses CoreML3 to predict the sentiment for these given tweets.

MoodBird

MoodBird is an iOS app that pulls tweets from twitter via their RESTful API and uses CoreML3 to predict the sentiment for these given tweets. The ML model I created was trained via CreateML with data provided by the LondonAppBrewery.

Motivation

MoodBird was created to explore CoreML3 and Twitter's API

Tech/framework used

CoreML3
SwiftyJSON
Twitter's Standard RESTful API
Twitter Framework: Swifter by Matt Donnelly

Features

Machine learning and language processing

Installation

Download newest version of Xcode from the app store and replace my free standard twitter API keys with your own.

Reference

https://github.com/mattdonnelly/Swifter
https://developer.twitter.com/en

How to use?

After building and running in Xcode, type in a keyword of your choosing and the UI will respond with a number representative of the sentiment (i.e. -100 - 100).

Credits

London App Brewery iOS Course: iOS 13 & Swift 5