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-0.5.23.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 10c5802a1e63f4f67f833cd5b1892915837cd8e67348aa1c0c1e7de06bda8eba |
|
MD5 | 57edfec591ddda27c9b251cd332c33c3 |
|
BLAKE2b-256 | bcf0e14880820b6f1d47ac08f9fbfd7745580c76a390b62c0ab7b9e5078c1ada |
Close
Hashes for streamcorpus_pipeline-0.5.23-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | ce5067b2033e0b032e5ac27a902d0203bd5be3cfadcb4624db7feb383a86d093 |
|
MD5 | d98feb4b15ffb7aaa85d947f2000e5bf |
|
BLAKE2b-256 | fd1990c609a68b5f5b2b14035571379c8f317e9fdbcf718e53cbbc6872dd5da6 |