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-0.5.54.dev3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a46b238f2e1b6968e2bfb89e74cb6e42080d64f0e50c91a8934ac2d0e39495ef |
|
MD5 | 821f19718f67f303e2a538263b4f02ca |
|
BLAKE2b-256 | 183496ea9534d7e1b8607befdf970f9d52e44a6ebe9d0be8be0d11faf5f55cfd |
Close
Hashes for streamcorpus_pipeline-0.5.54.dev3-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 58f2a6c28bbb76b1aa1b402b2ded395d034c6ca4e794770e72dc893d3ce23706 |
|
MD5 | df12e6d3b74bbefac733cf15a900d061 |
|
BLAKE2b-256 | dc104d79c7d392c3b23928e403c6f0cba286dde7807d762a11c8dda7600d5670 |