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Identifying Low-Quality and Potentially Fake Amazon Reviews Here I will be using natural language processing to categorize and analyze Amazon reviews to see if and how low-quality reviews could potentially act as a tracer for fake reviews. To create a model that can detect low-quality reviews, I obtained an Amazon review dataset on electronic products from UC San Diego. The dataset contains 1,689,188 reviews from 192,403 reviewers across 63,001 products. Most of the reviews are positive, with 60% of the ratings being 5-stars. usb, port, power, plugged, device, cable, adapter, switch... = Cables Reading the examples showed phrases commonly used in reviews such as "This is something I...", "It worked as expected", and "What more can I say?". So these types of clusters included less descript reviews that had common phrases. When modeling the data, I separated the reviews into 200 smaller groups (just over 8,000 reviews in each) and fit the model to each of those subsets. These types of common phrase groups were not very predictable in what words were emphasized. For higher numbers of reviews, lower rates of low-quality reviews are seen. At first sight, this suggests that there may be a relationship between more reviews and better quality reviews that's not necessarily due to popularity of the product. Popularity of a product would presumably bring in more low-quality reviewers just as it does high-quality reviewers. Perhaps products that more people review may be products that are easier to have things to say about. However, this does not appear to be the case. The top 5 review are the SanDisk MicroSDXC card, Chromecast Streaming Media Player, AmazonBasics HDMI cable, Mediabridge HDMI cable, and a Transcend SDHC card. Note that the products with more low-quality reviews have higher grades more often, indicating that they would not act as a good tracer for companies who are potentially buying fake reviews. Let's take a deeper look at who is writing low-quality reviews. Here are the percent of low-quality reviews vs. the number of reviews a person has written. faux saint laurent bag
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