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-0.7.12.dev3.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | fc6796428dede8ee1fe8218aa823e7367bc840fbf3f6401fcdf7a7a7b90bc065 |
|
MD5 | 746fc174e550bfa404a5e9d9aa3476ba |
|
BLAKE2b-256 | 50863a444ca0d425c09a789d29cfdc9d1f04da2edead4033ba2c3e3ab2deea1b |
Close
Hashes for streamcorpus_pipeline-0.7.12.dev3-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a343c383e16689d795eb06668b3bc49238a047476e1c656c3c700803ab90f17 |
|
MD5 | 99301fbfc38ad7afadfea9740c135247 |
|
BLAKE2b-256 | 3e908bee00d32e45cece5b974e4ce847f26bce93957f30bae95641795a4ad512 |