Getting to Know Amazon Reviews – Data Mining the Amazon Reviews Dataset

If you have ever considered using Amazon’s Mechanical-Feedback to measure the performance of your product or service, you will have probably heard about Amazon reviews Dataset.

Getting to Know Amazon Reviews

Amazon, among others, is using this to make its products more popular with the customers. The Amazon reviews Dataset is an extremely useful resource for retailers and other ecommerce businesses that wish to provide honest customer reviews.

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This is a collection of customer comments and reviews on all sorts of products sold by Amazon click here. For example, if you wish to know how customers feel about particular brands, or about specific models of appliances, you can go through this database to find out what people are saying.

Similarly, you can go through this to find out how customers rate particular services offered by your company. All in all, it’s a great way to get the pulse of your customers, and it’s always useful to update and improve your methods when you are getting good feedback from them. In Amazon’s case, it’s about time to take note of all the negative reviews, too.

Amazon is by far one of the largest online retail sites in the world, and they certainly keep on changing their shopping options and features from time to time. However, there is a tendency amongst internet users to compare similar products.

When you use Amazon as an example, the user may simply choose some brands or select a model. Amazon doesn’t sell the product, but the consumer does. This means that the retailer is left with a corpus of customer comments, and sometimes these can be quite detailed and useful.

So what does this data tell us? For starters, it helps us analyze trends. If we have the opportunity to access detailed information on every customer who has ever bought an item from Amazon, we can use this information to create customized product or service analysis.

In fact, many companies and organizations are finding this sort of information to be invaluable. You can use this data to make insightful decisions about your product or service, and perhaps most importantly, as a way to get closer to your customers.

So how do we extract this data? We could do it manually, of course. This would involve trawling through thousands of customer comments in Amazon itself, as well as on third-party websites which collect Amazon customer opinions.

However, it is much more manageable and accurate to ask for Amazon’s own data. This means that you don’t need to sift through comment after comment but can immediately go through the customer data to find specific topics and keywords that are relevant to your needs.

There are two ways to get Amazon’s data. The first is to go through the whole site and identify all the pages which contain Amazon reviews for particular items. The second is to crawl through the Amazon site one by one and search for key phrases or topics which are relevant.

We recommend using both methods, as it is likely that Amazon will continually be adding new content, and so your data set will become richer and more detailed over time. There is a Pandora-style interface for exploring the data using this method, which can be quite a rewarding exercise in its own right.


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