Retail Group
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YelpFakeReviewDection should be able to import to Eclipse IDE, which is the main file of our project. Before running the main class, please download the input data from “yelp_reviews_new” from https://drive.google.com/folderview?id=0B8CKS0y29-_EZXl3Ym1fM1dvaFE&usp=sharing and change the directory within. Run the Cosine_Similarity.java, where the main class is.
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"extract_new.py" is the Python script that processes the raw data
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"Results" folder contains scatter plots that creates from the "output.csv" in the https://drive.google.com/folderview?id=0B8CKS0y29-_EZXl3Ym1fM1dvaFE&usp=sharing .
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"yelp_reviews_new" from https://drive.google.com/folderview?id=0B8CKS0y29-_EZXl3Ym1fM1dvaFE&usp=sharing contains the processed data from "extract_new.py"
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"e6893bigdatafinalpresentation" is the presentation slides
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"yelp_dataset_challenge_academic_dataset" from https://drive.google.com/folderview?id=0B8CKS0y29-_EZXl3Ym1fM1dvaFE&usp=sharing is the raw data. Original link for the dataset is: https://www.yelp.com/dataset_challenge/dataset