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-0.7.2.dev2.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7f44669b8879de8d6325ccf46e893caf021b8bfc6fa9159dca21fb7fa9a711e6 |
|
| MD5 | c29c29bd0d9b06c2df0dc455499f3124 |
|
| BLAKE2b-256 | b16ecbf610a22e1c19cb6981fabf3e4a38231647713de3e9fa70d117f3e9c879 |
Close
Hashes for streamcorpus_pipeline-0.7.2.dev2-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cfc87edd6efee78b0b02533584416d17b3d5f3fd2556557d76e7dd8ccc83ebd7 |
|
| MD5 | ae627fad47484953e5b2e7ef1f97554d |
|
| BLAKE2b-256 | 17aeb4323b9734ec32c74db635803f2b02cea8a62133eb1afdbcecb58cd80c99 |
