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
Built Distribution
Close
Hashes for streamcorpus_pipeline-0.5.38.dev7.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 47cde1a490b55ea3510b1f01b77ebdaafe1ed91f5c9205ba3d4421302a0fc5c9 |
|
| MD5 | e43e13fe2c2e18d447d4bd8e07502bff |
|
| BLAKE2b-256 | 21c3de07b5e6d8ac802cb8b9325ef38ddf562a6d91f779fcf2ec0a05d16d3979 |
Close
Hashes for streamcorpus_pipeline-0.5.38.dev7-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 49e21c0b19c4388ea71d71e4febff8fd95384ab4cf65d66c6cb1ee3f788f070b |
|
| MD5 | fd47c756bcc8009f66a583a1e6978280 |
|
| BLAKE2b-256 | c7273833bd70e84e14165c6e2d95266e1158aa1d2ec33f44b376748f5afddcda |
