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-0.5.32.dev14.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 52d57a918fec746296df0b5901a5feca667acd25bfbdb610af91b98fd9589746 |
|
| MD5 | 2f9278515182e4338c68ed700b74bf3a |
|
| BLAKE2b-256 | d92591744ea7f493ccbf73a4bca24143b5e1af76329f352c4461ceb84503ea3e |
Close
Hashes for streamcorpus_pipeline-0.5.32.dev14-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6c940148008842d698a34e7a9ced952dd9430874f4b6ceb329157cec15c46c6a |
|
| MD5 | defc67489b3e0c875c16bed3eb164b99 |
|
| BLAKE2b-256 | 675c1f9f3afdc358c2a1e4c12cb75c596632d696bedd822c5a625baa5aa3b2fd |
