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-0.7.5.dev7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ac571996335cf869faa39647db2e98ff03ff57459fa913f79f3b5b53f438c301 |
|
MD5 | aa4fbe66e235dedfcb9ae4bf1e322817 |
|
BLAKE2b-256 | ecf3001cad3ec2cbb01af5e18951187313c398bc5bd1db1cb3e608fbff3fd057 |
Close
Hashes for streamcorpus_pipeline-0.7.5.dev7-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 888ab7eae16c1cecb8211e86c967af79e66b12da9fbf9651b0f51333e0cff77a |
|
MD5 | 23c2c0dfe48d53e17981e8da4fd0e83d |
|
BLAKE2b-256 | b4fd311ba79b88fec6da45d1630f7bb2a03e6de08fffcd8708dd3a34a61ae595 |