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-0.5.43.dev8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | bbd69da6725a1ebcfb938b2a96f12f4edfc22ba72d14f31bdf1c1187f6f22b1e |
|
MD5 | 1aa0c645019ca6c0769e9bfd1273d72b |
|
BLAKE2b-256 | 596c44f80a07e6c71b6d43d1121e56219b0f563bb71bfcb8a1af8d6142f73738 |
Close
Hashes for streamcorpus_pipeline-0.5.43.dev8-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | a6cf101d86160779dec5f1459c4129442a90e890fddbb28bb0c90a2588feeca3 |
|
MD5 | 90c9f70de16ae134d30795a0564a830c |
|
BLAKE2b-256 | b9ee2fbba27e8eb374dc7f14e92995696408892f7cc617c48f7eb810f19e09fc |