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.
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-0.5.1.dev8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6b41047df840beee224841894141feb983b70f6c0965b7680d2a6a760008cee6 |
|
MD5 | f55d545825723511733f8ac04ab0721e |
|
BLAKE2b-256 | 40ffd109316cf1829a033f05d3e2581da4d5faf1972395c002e7f6c8e6b1787e |
Close
Hashes for streamcorpus_pipeline-0.5.1.dev8-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 86c79caeea6f4556f2ad62a18acef09788c2675ecbf6a88c1b60b0e6fb2ce180 |
|
MD5 | 2ec2ceb808ca8863305541ef866bb0d0 |
|
BLAKE2b-256 | ce8bc923b8ed6949adacf3c6e64e9648b9e56018db199be715ed217af3da5437 |