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-0.5.32.dev20.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | c3a27f44419ac44fa9d66558b9d4909afe104be89a056d15b66b34a5b75c2b2c |
|
MD5 | f94322175c83b14c0b0cce163373c38d |
|
BLAKE2b-256 | cf554e8a18512a03a1886e7ffce8f38b9d96f72abbbcb1a1c987b2be3e37a8a6 |
Close
Hashes for streamcorpus_pipeline-0.5.32.dev20-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 00ca01f1f1b1eb709412ef1671c484989d0099c032deb30a4699a5291b85d545 |
|
MD5 | 61bdeeaeddce46f1f18f1c75990acc6c |
|
BLAKE2b-256 | 6bcf9322914b9a3eb99ba58f4b44aeb5d5f344ee292f53a714a2bbd85fc02116 |