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-0.5.53.dev5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 120277662e734f5dde968abf51149a6469046aab4b0a147e94e9953a2c8642dc |
|
MD5 | ec66620293140555738b693f55e1cb0d |
|
BLAKE2b-256 | 30adaf733fcd19cb2ccee52f0d034c723304848c20f1973889d167307a00bb4d |
Close
Hashes for streamcorpus_pipeline-0.5.53.dev5-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1441499a5b6dd8a014e8c6533f1a473d6f7fa24a03279e6cc2115a40a72ce26a |
|
MD5 | bbb273c616f5e3da5002be21485df804 |
|
BLAKE2b-256 | 8ab32bccc3433d8db53cc7a79dcbb1e89fe84976a4020d7df0ecb35627f73a5a |