https://github.com/jameslmartin/subreddit-recommendations

COMP 790 final project using Kaggle's dataset of reddit comments from May 2015
https://github.com/jameslmartin/subreddit-recommendations

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COMP 790 final project using Kaggle's dataset of reddit comments from May 2015

• Host: GitHub
• URL: https://github.com/jameslmartin/subreddit-recommendations
• Owner: jameslmartin
• Created: 2015-10-11T03:29:41.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-09-01T16:57:30.000Z (over 1 year ago)
• Last Synced: 2024-11-07T17:49:19.704Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 623 KB
• Stars: 1
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
### Goal

Train a model that classifies very unstructured text like Reddit comments to see if a recommendation engine could be built.  

If subreddits cluster together, nearest clusters may be other subreddits that are "related" or "interesting" to a user.

### Results

Please view the final report PDF located in this repository @ martin-790-final-report.pdf

#### Contact

[email protected]

#### Acknowledgements

Kaggle for uploading the data set and great tutorials on Python's gensim and sklearn libraries