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-0.6.7.dev2.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 97dcf98ea2ea475010af9f7e19a9b3f7f3475dcb3c085ead6caeb9c92b0ee047 |
|
| MD5 | 1ae40d5792917ce9fa691c90f2482783 |
|
| BLAKE2b-256 | 05439877d04988ddc8f1aebb304c2d59e1df119473db3afc20823d5e3cdb197b |
Close
Hashes for streamcorpus_pipeline-0.6.7.dev2-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5a4aec2d6e44f47ea30884c72bc0f239169a5b7f9acdb6a45de107e1fb184f16 |
|
| MD5 | 142791feecef09d6e02a8ac6741bbe4d |
|
| BLAKE2b-256 | 78935a4c72d55b03e233ecff41b36b57b93402fd2364bc434d149ae474011b5a |
