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.dev8.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ec97ad9cc5b87c4c8c5c483474066fba512713759b3c880264c9f833fbcc072b |
|
| MD5 | b104bd29d884595c3ebf561594333ab8 |
|
| BLAKE2b-256 | 785a002d5310397b0e97477f4070cc9e51f9a4a551ab4f6dad531e200726b6f7 |
Close
Hashes for streamcorpus_pipeline-0.5.32.dev8-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f76cd77d71ebb0d155f3595d801846e53050cbf067cbc1c16b2dca1869e6cde2 |
|
| MD5 | 0a3c501c14f73b7a0665b916d31232f9 |
|
| BLAKE2b-256 | dedd8791489dbb4ae309fa71f978c9f81fc8302d0eca6937580cc602915d3083 |
