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-0.7.15.dev5.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | f843e54f8a699b39222541307d6f9943707d19146d053b48a631a13654772926 |
|
MD5 | ef34dd880f94eb8e1aaa795f1e4455bc |
|
BLAKE2b-256 | baba5747e0f3d903c6759dbd0e15fd54924176a6aeb7aaa9e3428fd45b5dc945 |
Close
Hashes for streamcorpus_pipeline-0.7.15.dev5-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f84134433d39f0c96011f7c22b0aecab572f9a10758bb3d40821ed683142b56 |
|
MD5 | e21758d5e88f211087d467a723305211 |
|
BLAKE2b-256 | dca89d2efd05f6bbe94e9ca4eff0478b7e10478c4092c1f3cb6dcdb22b268ee1 |