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-0.7.10.dev2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 0b3f8285e7417a3d77e1d09df9e3f1b4c3f12ed104940893119b0218c577ffda |
|
MD5 | 1fdab74b7e54a9541c16d8ed40bde844 |
|
BLAKE2b-256 | 96d115aae25556c8c37f7fa4fbf5318b710b9b9e58c2aaf3191a0b8900a047d8 |
Close
Hashes for streamcorpus_pipeline-0.7.10.dev2-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6cef8de059dcda933f3724657212ba6bc831eebe19bddfd21c617bb9ac676a00 |
|
MD5 | 64a627519e462b6e1d5f86f454eb997e |
|
BLAKE2b-256 | 0a37523e8c97e11c971b9239e57056c28b5d1efbd07f8d292d4ab10fa48e79ea |