gerardoepitacio/TweetMood

Android app that analyzes Tweets of an account and tells you if the Tweet contains a Sad, Neutral or Happy sentiment, all this with gorgeous emojis.

TweetMood

Analyzes the latest Tweets of a user and tells you if the Tweet contains a Sad, Neutral or Happy sentiment, all this with gorgeous emojis.

Main feactures

• Made with Kotlin
• MVVM architecture pattern as the latest Google architecture guidelines to create Android Apps.
• Supports mainly versions 19 to 28.
• Portrait orientation only.

Third party APIS

• Oficial Twitter API - To list user tweets.
• Cloud Natural Language - Sentimental Analysis API - Words analysis.

Main Libraries

Jetpack components

• Android X - It have the major improvements to the original Android Support Library.
• ViewModel - Class designed to store and manage UI-related data in a lifecycle conscious way.
• Databinding - Allows you to bind UI components in your layouts to data sources in your app using a declarative format.
• LiveData - An observable data holder class with is lifecycle aware.

Third party libraries

• Retrofit - To consume Twitter and Google APIs.
• Glide - An open source image loading framework for Android.
• Android material components - Android material components.
• OAuth 1.0 support - A Signpost extension for signing OkHttp requests.

Authors

• Gerardo Epitacio

Google Play

• Find it at Google Play

Suggested improvements

1. // TODO Fetch the whole tweet content if it was truncated, before make the words analysis.
2. // TODO Define or search for a better framework/model to identify the Happy, Neutral and Sad sentiment.
3. // TODO Sopport for a landscape orientation.
4. // TODO Improve UI/UX.