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-0.5.26.dev3.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 937de635a364c3f5fce4816fcd5acae3bddee3fc6905fea5f1391ef335177bb6 |
|
| MD5 | aa963056d0bfe609b96df1826bdfd5bc |
|
| BLAKE2b-256 | fd1073a0f0d6e3a2081eacc0e6011843f5dac641d992102fd4874a64eaacd67c |
Close
Hashes for streamcorpus_pipeline-0.5.26.dev3-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 03d4a8718d4114bc572eb161b26c08f9557bb98afa1bd248828b42162c4b26cd |
|
| MD5 | 501659c8ef845caa549ef95a36b0778a |
|
| BLAKE2b-256 | def55c76cc77986a799bd716cc18c032e4127945eec0051eec914dfd650777be |
