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-0.7.13.dev3.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 98faed07770fca3245a60f9c7784cf7ba95e2a365b1a9fb166d51098a400243c |
|
| MD5 | d48142c7d345e4ad999a0bc372bf0bcb |
|
| BLAKE2b-256 | 015ebe181a39579336b573e7b6ae0273172079b463d557e47a76241e61f4c36f |
Close
Hashes for streamcorpus_pipeline-0.7.13.dev3-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c4551aea2f8a7382ac597dc400ade6533243b096c4d17915a05594c3f6b59c35 |
|
| MD5 | 19492e160a706f058ae891eccff92506 |
|
| BLAKE2b-256 | 5d8e7216e7bcd0be3099be7ae6d4aaad0a5608ecd87fc4ddd5ac7cd3a3b20ea5 |
