Irplus

irplus: Open-Source Information Retrieval Toolkit

An open-source IR toolkit for research and experimentation, providing tools for indexing, search, classification, and evaluation.

What is Irplus?

irplus is an open-source information retrieval toolkit designed for research and experimentation. It provides a set of tools and libraries for common information retrieval tasks:

• Indexing - tools to parse documents, tokenize text, filter stopwords, apply stemming, and create inverted indexes
• Search - APIs for performing queries against indexes and ranking results
• Classification - implementations of algorithms like naïve Bayes and SVM for text classification tasks
• Evaluation - utilities for measuring precision, recall, nDCG, and other common IR evaluation metrics

Some key benefits of irplus include:

• Modular design - components can be used together or independently
• Optimization - critical components use C++ for speed
• Scale - built to handle large document collections and vocabularies
• Extensibility - newstopic models, ranking functions, etc. can be added
• Free & open source - BSD licensed code

irplus would be useful for researchers and students interested in testing IR algorithms or using information retrieval in applications. The code is actively maintained on GitHub.

Irplus Features

Official Links