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/)
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-0.5.42.dev12.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b6f164db3509694284df6acf62e819940b6802ddc94d5dd4ab7340ec7ba2951b |
|
| MD5 | 22013687cae530d8f513aee23b22e07b |
|
| BLAKE2b-256 | fadcb22b0c6e0425ee65b8f8278e2a9a8744f42dfc5c699c068f75880c70faba |
Close
Hashes for streamcorpus_pipeline-0.5.42.dev12-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0bc054f071cbc438c0048499ee742b32100e079408d26af31b9709ba1033b6a |
|
| MD5 | c13ed416151bd6ba85e5e703b65adb76 |
|
| BLAKE2b-256 | bc1d6f2e8a41d58137e1c87d6d03bd641f2e8ba62eafe6152cb87ee3cbd08dbc |
