Raxerz/Fake-Review-Detection-and-Summarization-ML-Src

Summarization & Opinion Spam Detection of Online Reviews

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Setting up the source

Prerequisites:

• 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/".

• 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

Note:

In case the dataset is not available at the above links or is no longer accessible, it can be downloaded from here

Steps to run this system:

1. cd Fake-review-detection-and-Summarization-ML-src
2. pip -r install requirements.txt
3. Install the nltk packages mentioned in the "nltkpackages" file
4. Run Launcher.py to preprocess and start execution