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faux saint laurent baggood replica designer bagsFor the number of reviews per reviewer, 50% have at most 6 reviews, and the person with the most wrote 431 reviews. There are tens of thousands of words used in the reviews, so it is inefficient to fit a model all the words used. Instead, dimensionality reduction can be performed with Singular Value Decomposition (SVD). As I illustrate in a more detailed blog post, the SVD can be used to find latent relationships between features. The principal components are a combination of the words, and we can limit what components are being used by setting eigenvalues to zero. I limited my model to 500 components. scroll, wheel, logitech, mouse, accessory, thumb... = Computer Mouse usb, port, power, plugged, device, cable, adapter, switch... = Cables However, one cluster for generic reviews remained consistent between review groups that had the three most important factors being a high star rating, high polarity, high subjectivity, along with words such as perfect, great, love, excellent, product. The reviews from this topic, which I'll call the low-quality topic cluster, had exactly the qualities listed above that were expected for fake reviews. I used this as the target topic that would be used to find potential fake reviewers and products that may have used 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. Next, in almost all of the low-quality reviewers, they wrote many reviews at a time. The likely reason people do so many reviews at once with no reviews for long periods of time is they simply don't write them as they buy things. The list of products in their order history builds up, and they do all the reviews at once. As a good example, here's a reviewer who was flagged as having 100% generic reviews. Note that the reviews are done in groupings by date, and while most of the reviews are either 4- or 5-stars, there is some variety. This isn't suspicious, but rather illustrates that people write multiple reviews at a time. But there are others who don't write a unique review for each product. For example, some people would just write somthing like "good" for each review. This may be due to laziness, or simply that they have too many things to review that they don't want to write unique reviews. As an extreme example found in one of the products that showed many low-quality reviews, here is a reviewer who used the phrase "on time and as advertised" in over 250 reviews. As you can see, he writes many uninformative 5-star reviews in a single day with the same phrase (the date is in the top left). faux saint laurent bag
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