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Download the amazon review dataset from "http://jmcauley.ucsd.edu/data/amazon/" and store it in "Fake-review-detection-and-Summarization-ML-Src/datasets/Reviews/Raw/".
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Download the brands dataset from "http://jmcauley.ucsd.edu/data/amazon/" and store it in "Fake-review-detection-and-Summarization-ML-Src/datasets/Brands/Raw/" respectively
In case the dataset is not available at the above links or is no longer accessible, it can be downloaded from here
- cd Fake-review-detection-and-Summarization-ML-src
- pip -r install requirements.txt
- Install the nltk packages mentioned in the "nltkpackages" file
- Run Launcher.py to preprocess and start execution