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-0.5.44.dev2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 63b5be3b4200314d73c7070f7770ffa18d335a6df013b1ca3122b6f78a117632 |
|
MD5 | b23325d8ff252b21ba79deecf47b22fd |
|
BLAKE2b-256 | 79d00e2c571769e74246a4697fc70f11bd39bdc44ffd4c83b428ba8b0d005577 |
Close
Hashes for streamcorpus_pipeline-0.5.44.dev2-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | da37d2d3e5d5411ede277020eb47c69b32ccad5f4a08bcdad7d0a6e8300ba5bf |
|
MD5 | ae55ac5c11d39dd6e597af9af7ec6224 |
|
BLAKE2b-256 | 9f8dd3ea9a0f12e7b7bd319d1781e594bb285ab900dd310d376417602c9b2271 |