Its been a few years since Josh originally released the iLanguageCloud project. The iLanguageCloud project uses Jason Davies D3.js cloud library and some statistics to tokenize and identify stopwords so that it can support text in any unicode charset in any language.
Since the app was released a surprising number of users have found the app and have been using it. Users have been requesting features and providing feedback on the Play Store and Chrome Store.

This summer Veronica will be looking over iLanguageCloud user reviews in order to document what needs to be done in the next releases. First she found that most of the reviews indicate that there are different user groups who have different goals when they open the iLanguageCloud project. Some users want to paste a full text and see a cloud, but most users want to see all the words they paste.
She started by identifying the user types with a CouchBD map reduce and learning how to do statistical analysis in LibreOffice. Once she had identified stats to categorize user types, she added tests for these user types in the codebase using Jasmine.

While she is learning the tools (Angular.js, Travis) to make the modifications so that her user types tests pass, Veronica created a video tutorial showing how you can use the Chrome app so that users can have some instructions.
To help decide features get done first visit our GitHub feature list.