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-0.5.41.dev2.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8db1345764011f918001295eb3520c7bd49df5e1102e31c88e5639285792a14a |
|
| MD5 | 38b6ae32e9417d42d26464ff16285a5d |
|
| BLAKE2b-256 | 35c6b734ecde547435638a6486dc280b78ee5a6a9ab09c75f41014597bd064b4 |
Close
Hashes for streamcorpus_pipeline-0.5.41.dev2-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0bacc752c2c108d9db59623fd451f6b0263c4982c399339a732f3f1e16d21800 |
|
| MD5 | 4df9b7618b4fc421316e616c4dfe5860 |
|
| BLAKE2b-256 | 35fb29d1d0196d438b3db88e1d2889359a757902c275d07b3003c92ec8819159 |
