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-0.5.46.dev2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1d7d2fb1618bf6d5301cb0bf4d36baba4a22b40996cd605582af74155cd7e088 |
|
MD5 | 0008f603fb968ba13b84377ec2db9bca |
|
BLAKE2b-256 | 60af50c10e86408b7450c5b6062cc7239b2e741bd9dc0bc195e935666be33b78 |
Close
Hashes for streamcorpus_pipeline-0.5.46.dev2-py2.7.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | a2bba8b39a4fe66d685fded931db49ad56d6abbe625da9dd691aa90b67fd48d5 |
|
MD5 | 0b62955d67e6d24587c8764c94de8f16 |
|
BLAKE2b-256 | f43363168adecb708f8194a0bde3a199180fa917f1ebb062890660467779098f |