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-0.5.32.dev26.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f568a2ef2bb982d71fbd35e310c6f84021005ebcbc1d5f62d5229fdd16a13b5d |
|
| MD5 | 95371af62c42c0e8637db77f9503640b |
|
| BLAKE2b-256 | 418e64b6b3e1c358ca3b1bf1d980413cfe850b4bf489af3cde5e2d493adc9b70 |
Close
Hashes for streamcorpus_pipeline-0.5.32.dev26-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 04da7e3b882c1d1ba4431c2d1c89e3db299e69a6d2f1932a778890d654b91f16 |
|
| MD5 | 24dbbb8585de2ee37da9b9d6ecf51c13 |
|
| BLAKE2b-256 | 4e4a3ddcc118e20527074e3bfa339f36d38a7bfaca38c8e11bdd7380c020a72b |
