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-0.7.11.dev1.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a421bc6e8911b18d006ee5070fda82dc4b7543c08d74b0f7e1f42e9e3db071fe |
|
| MD5 | ab3768c85572ec05281ab5a48d469680 |
|
| BLAKE2b-256 | 6d3319225c941980f3eb9dc969c008b30f21a44ae19e51c4554f2c005673cdfd |
Close
Hashes for streamcorpus_pipeline-0.7.11.dev1-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9e45fcc13c90b7bedd37b1ea519ff5d382e5140c924fb0fa97c6465f9f5720ad |
|
| MD5 | ea4998f7af285e6c024d443b25b58578 |
|
| BLAKE2b-256 | c97ff4bf3c2c9a80de4aa7d461de9b1eba6c76446faa3b8ed30fd2f86234eaec |
