chatter
Version 0.9.1.0 revision 0 uploaded by RoganCreswick.
Package meta
- Synopsis
- A library of simple NLP algorithms.
- Description
chatter is a collection of simple Natural Language Processing algorithms.
Chatter supports:
Part of speech tagging with Averaged Perceptrons. Based on the Python implementation by Matthew Honnibal: (http://honnibal.wordpress.com/2013/09/11/a-good-part-of-speechpos-tagger-in-about-200-lines-of-python/) See NLP.POS for the details of part-of-speech tagging with chatter.
Phrasal Chunking (also with an Averaged Perceptron) to identify arbitrary chunks based on training data.
Document similarity; A cosine-based similarity measure, and TF-IDF calculations, are available in the NLP.Similarity.VectorSim module.
Information Extraction patterns via (http://www.haskell.org/haskellwiki/Parsec/) Parsec
Chatter comes with models for POS tagging and Phrasal Chunking that have been trained on the Brown corpus (POS only) and the Conll2000 corpus (POS and Chunking)
- Author
- Rogan Creswick
- Bug reports
- http://github.com/creswick/chatter/issues
- Category
- Natural language processing
- Copyright
- n/a
- Homepage
- http://github.com/creswick/chatter
- Maintainer
- creswick@gmail.com
- Package URL
- n/a
- Stability
- n/a