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-0.5.32.dev25.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ee0a0d311fab58ba417168824e3b8c5e38572a5a2efc66474a25cde376877600 |
|
MD5 | 409fdeb704a2366ae50402d9d2014173 |
|
BLAKE2b-256 | 421cd5d1d746b32a90cb3e2d733c21f0d1129fb278301d0c0dea4536df9cca06 |
Close
Hashes for streamcorpus_pipeline-0.5.32.dev25-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6db49bc1c9cfa85d93ca508e6f3baffcb678720aa1f402c9f3da8a2cc1f3f2f0 |
|
MD5 | 7ba8fcb6a974aab2bb627a475974f87f |
|
BLAKE2b-256 | c62626c3a74f49ee7d71a1c72ad00bf240576e81c9f7f18d4749015154c56d91 |