Tools for building streamcorpus objects, such as those used in TREC.
Project description
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 | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Close
Hashes for streamcorpus_pipeline-0.5.47.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4f9d4e88efa8a4de52a64aa3b7130c0176c3f4b82e4e276cc0e2abd0cf1d80d0 |
|
| MD5 | e783dafbcaaadc4bb4f3dfb23be2dab8 |
|
| BLAKE2b-256 | 36c6a97f065b1aff8d865c53e57a59991188af350e6b5c89d90055a75eb4d4e1 |
