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-0.5.38.dev3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 650caf830fe7fe15cfb07bfddb6dd17208b1c01ff643c5790836d71c8ea5a9ed |
|
MD5 | 0d2eb54d7577b24cc2be035fafeb216e |
|
BLAKE2b-256 | 17a1e0bd2006a913056a775983d8903f509b58c946d0cb1960f35ff3eca7cfe7 |
Close
Hashes for streamcorpus_pipeline-0.5.38.dev3-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 503714ec03ab3e3904e74cfa489c3fdb3cfbd17a83e0ce9c84608efef9fcd689 |
|
MD5 | eec07c191dd2f4d69e3b4599bac056bb |
|
BLAKE2b-256 | 272329ee812af8e1d2e47a60b6a052619609adf50fa12bd70561fd0ca27334ab |