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.dev4.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | bb691e3bd3e5c15c2d6ab6d351f02c27a616b5661bac389a426f5764ed43395d |
|
MD5 | c932a12ab198df2edc450da7c9f9ac1c |
|
BLAKE2b-256 | ea4b84737d7151329c33b4ff327eb166052481de54d2515cb57ca40e53121e4a |
Close
Hashes for streamcorpus_pipeline-0.7.12.dev4-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9802a2ac3b1c463529f72a0b3c9a50bc2bd56e2bf7c393d16fd3b36276c5a2ba |
|
MD5 | 9f152acc71c57950c2558d6de261abf7 |
|
BLAKE2b-256 | 390081a5f8fe7811bdfc52604b4d1c481b964fdd60223ba85cf9a3beb5b68d11 |