Tools for building streamcorpus objects, such as those used in TREC.
streamcorpus_pipeline is a document processing pipeline that assembles streamcorpus objects from raw data sets.
The streamcorpus_pipeline python module contains tools for processing streamcorpus.StreamItem objects stored in Chunks. It includes transform functions for getting clean_html, clean_visible, creating labels from hyperlinks to particular sites (e.g. Wikipedia), and taggers like LingPipe, Serif, and Factorie, which make Tokens and Sentences.
Read more at [streamcorpus.org](http://streamcorpus.org/)
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|streamcorpus_pipeline-0.7.10.dev1-py2.7.egg (10.3 MB) Copy SHA256 hash SHA256||Egg||2.7||Jun 11, 2015|
|streamcorpus_pipeline-0.7.10.dev1.tar.gz (9.8 MB) Copy SHA256 hash SHA256||Source||None||Jun 11, 2015|