https://github.com/pankajarm/washingtontimes-nytimes-articles-classifier
https://github.com/pankajarm/washingtontimes-nytimes-articles-classifier
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/pankajarm/washingtontimes-nytimes-articles-classifier
- Owner: pankajarm
- Created: 2017-01-29T17:34:54.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-02-12T03:17:40.000Z (over 8 years ago)
- Last Synced: 2025-03-02T09:39:41.981Z (3 months ago)
- Language: Jupyter Notebook
- Size: 10.7 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
Goal of this nano research project is to learn and understand capabilities of Natural Language Processing and Machine Learning Techniques and then build a classifier model that will predict correct genre of any given blog article.
The current model is trained on articles data from Washington times and NY Times divided among many genres like Tech, Sports, Politics.
This nano project will be build using python NLP, Beautiful Soup and SciKit Learn Naïve Bayes Classifier packages.
All data is used for learning and research purpose.