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/)
Project details
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-0.6.4.dev7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1caaa7df2d64ccc0342e453078d317f4b46d346bf005b9fbdbce2ed602018cc0 |
|
MD5 | cdf8b1baf425ec67b715b3354aadfef3 |
|
BLAKE2b-256 | 4b4b387d0bf3f3264bebe59b1b5af2fbaaa701b7a9385383b140483e5b99c55a |
Close
Hashes for streamcorpus_pipeline-0.6.4.dev7-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 60c9c83f03a89e7a7712592b526ab9bfd8cd06fca1a5ba621b46a7a056c0105c |
|
MD5 | 832e7156c8316b419ffac0c6c3059d0d |
|
BLAKE2b-256 | 21768360eabcd8898e2f464b87d7604657c560db77f95eb14beba3941517ea6a |