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-0.7.10.dev1.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1c9d58c079239062d4ac6d6bf22d52639c7ac28b1ce738a05872c18d686134d0 |
|
| MD5 | 1210e118f4b3f7aa6d16b67374124922 |
|
| BLAKE2b-256 | cb0edc7d79fa392da512d202286242491af9445547a0c787aeb56d5a57ee6018 |
Close
Hashes for streamcorpus_pipeline-0.7.10.dev1-py2.7.egg
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e484fa87017ad3d123ba1fe222152df2932d2e792e791365441f5c3ca5b6cdbe |
|
| MD5 | 8107f00ef13706af17012cb957754ed9 |
|
| BLAKE2b-256 | 4d95ea0c5a0eb5e559a6bf9691813901348a71422ae52336ef0a3c390bf406d6 |
