MeTA, short for ModErn Text Analysis, is a toolkit for experiments in text retrieval, natural language processing and data mining. It brings indexing, document ranking and linguistic analysis into a modular environment intended for research and teaching.
The project addresses a common problem in experimental information retrieval: researchers need to compare how a retrieval model behaves when the tokenization, indexing or ranking stage changes. MeTA exposes separate components so text collections can be prepared, indexed and analysed through reproducible workflows.
This is free and open source software.
Key Features
- Provides text tokenization and document preprocessing.
- Builds compressed inverted and forward indexes.
- Implements document-ranking functions for search experiments.
- Includes text classification algorithms.
- Offers topic models and statistical language models.
- Provides conditional random fields for tagging and shallow parsing.
- Includes graph algorithms used in data analysis.
- Wraps liblinear and libsvm classification functionality.
- Supports Unicode text analysis.
- Includes multithreaded processing for supported algorithms.
- Can analyse document corpora with alternative term weighting methods.
- Provides reusable ranking components for experimental search engines.
- Allows researchers to evaluate search and classification algorithms separately.
- Provides multiple approaches to generating text-based features.
- Includes examples and tutorials intended for coursework and research experiments.
- Allows modules to be combined into configurable text analysis pipelines.
- Cross-platform support – runs on Linux, macOS, and Windows.
Website: github.com/meta-toolkit/meta
Support:
Developer: MeTA Team, University of Illinois at Urbana-Champaign
License: MIT License and University of Illinois/NCSA Open Source License
MeTA is written in C++. Learn C++ with our recommended free books and free tutorials.
Related Software
| C++ Natural Language Processing Tools | |
|---|---|
| text2vec | Framework with API for text analysis and natural language processing |
| Moses | Statistical machine translation system |
| TiMBL | Tilburg Memory-Based Learner |
| MITIE | MIT Information Extraction |
| MeTA | Modern C++ data sciences toolkit |
| Colibri Core | Efficient n-gram & skipgram modelling on text corpora |
| CRF++ | Yet Another CRF toolkit |
| BLLIP Parser | Statistical natural language parser |
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