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
Close
Hashes for streamcorpus_pipeline-0.7.7.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | fe73175a2b2b821e6ecb2b00746f7e91aca61f2dca82cee1aaff73f0df376f63 |
|
MD5 | 15cc554a574bb626a33f8a61a5c5e0b0 |
|
BLAKE2b-256 | 5a10f9022a03309af14bc400464f6698aa19b559589dff862c08b0a40256efd3 |