The Word Stem Frequency Analyzer is a web app that performs word stem frequency analysis on a user supplied text document. See http://wordfrequencyanalyzer.herokuapp.com/ for the live application.
This web app:
- uses the built-in Ruby tempfile to handle user upload in conjunction with the Yomu library to read and save text content in a temporary local file,
- uses Ruby regular expressions to perform word stem extraction on the text data based on the English (Porter2) stemmer algorithm and counts word frequencies, and
- displays the results along with the original user-supplied text.
Most file formats supported under the Apache Tika toolkit (through the Yomu library). Upload size is limited to 4 MB.
The Word Stem Frequency Analyzer relies on the following libraries/frameworks:
- Ruby on Rails - core MVC framework
- Yomu - a library for extracting text and metadata from documents
- Twitter Bootstrap - responsive UI framework for modern web apps
This web app is a small coding exercise for the Human Practice interview process.