https://github.com/kensuke-mitsuzawa/easy-topic-ranking
https://github.com/kensuke-mitsuzawa/easy-topic-ranking
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/kensuke-mitsuzawa/easy-topic-ranking
- Owner: Kensuke-Mitsuzawa
- Created: 2015-07-06T09:07:41.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2017-02-27T06:44:25.000Z (about 8 years ago)
- Last Synced: 2025-01-19T11:30:24.894Z (4 months ago)
- Language: Python
- Size: 328 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 3
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Metadata Files:
- Readme: ReadMe.md
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README
# what's this?
This is a tiny document clustering project with LDA.
This project works only under python2.7
# Setting up
## Dependency libraries
pip install -r requirement.txt
## Install
clone this reposiroty into your local and
python setup.py install
or
pip install git+https://github.com/Kensuke-Mitsuzawa/easy-topic-ranking
## docker setup
I describe later
# Usage
## from python script
1. specify all parameters to be used in script into `easyTopicClustering.models.params.Params`
2. call `easyTopicClustering.rankingInterface.main` argument is just object of Params class
3. (optional) if you want simple summary html, call `easyTopicClustering.send_email.generate_html_report`. This function calls Rscript to generate summary html.
as for example, please see `easyTopicClustering/__main__.py`.
## from command line interface
just call `easyTopicClustering/__main__.py` from command line.