pascalbakker / YelpSpamData

Dataset

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YelpSpamData

Dataset

Installation

Install the requirements.yaml to your conda env to run all the code in this project.

conda env update -b my_env --file requirements.yaml

Classification

To train the Bert model, run python train.py. To test the bert model, update the variable 'text' in test.py and execute python train.py . The model weights are located in the 'results' folder. To train and run the Naive Bayes model, please go into the 'Research.ipynb' file and execute all blocks of code.

Website: https://yelp-recommendation.ue.r.appspot.com/report

About

Dataset

License:GNU General Public License v3.0


Languages

Language:Python 95.9%Language:Jupyter Notebook 2.8%Language:C 1.0%Language:C++ 0.1%Language:HTML 0.1%Language:PowerShell 0.0%Language:Fortran 0.0%Language:CSS 0.0%Language:JavaScript 0.0%Language:Shell 0.0%Language:Smarty 0.0%