Support categories

Electronics, Gadgets and Appliances

Support Site

Includes Amazon US, Canada, UK and India sites

use

Enter the product URL of Amazon on the website and search

Then you can see the relevant comments

Detection indicators

1. Review Count Per Reviewer (Number of historical reviews for each reviewer)

2. Unverified Review Streak

3. High Velocity Reviewers

4. Inactive Reviewers

5. Reviewer History Overlap

FAQ

Q: What is the ViewIndex about?

A: We think reading reviews on sites like Amazon is a bit too tedious. Most products have hundreds or thousands of reviews. It's impossible to make sense of that many reviews, let alone compare across products. So we built the Review Index, which uses neural networks to detect and quantify recurring patterns in reviews, enabling one reviewer to go through thousands of reviews in a matter of minutes. We are unbiased, independent, and eager to simplify online shopping.

Q: How does the ViewIndex work?

A: You simply enter the URL of the product you want to buy. Our machines will fetch the latest user reviews from sites like Amazon in real time. The extracted reviews will then be analyzed to detect fine-grained topics and implicit sentiments, after blacklisting potential unnatural content. This information will be shuffled and presented as an unbiased, functional, aggregated opinion scorecard.

Q: Where does the view index get its data from?

A: ThereviewIndex requires data like product details, reviews, etc. We crawl all the available information from different public web pages. We then churn this data to get presentable insights.

Q: I noticed some discrepancies in the quality of my data? What should I do?

A: We use neural networks to detect discussion topics and sentiments in review sentences, and we constantly monitor the quality of our algorithms and data to maximize accuracy and ensure that outliers do not affect the final conclusions. However, there may still be some cases of incorrect classification. If you find any large discrepancies or quality issues, you can provide feedback using the links provided in the website or send us details at [email protected], and we will take these inputs into account when adjusting the algorithm.

Q: How can I trust ThereviewIndex? How do I know the assessment is fair?

A: We've discussed this from the beginning. Because building and maintaining trust with you is so important to us, we designed the product to ensure that every score or recommendation is strongly supported by solid evidence. If you want to dig deeper, you can click through and read all the user reviews that contributed to each feature's score. Not only that, all of these reviews are properly attributed and linked back to the origin.

Q: How does this website make money?

A: We do not make money from this website. Our users can always use this website for free.

Q: How do you deal with comment spam?

A: One of the main concerns in online opinion is the issue of spam and incentivized reviews. While a single spam review doesn't receive much weight (since we rely on crowd opinion to make our judgments), some spam reviews can be misleading, often drowning out actual user opinions. We believe that spam, like any other crime, leaves traces. This is true, especially when spam is done at scale. We try to identify these, and in the spirit of transparency (like the rest of the site), we're starting to disclose the underlying data points that contribute to our decision-making. Currently, we only disclose a few signals, but in the near future, we'll be rolling out a more comprehensive set of signals.

Q: I'm a brand and my products have received poor reviews. What can I do?

A: The short answer is meaningless. We rely on user reviews from the marketplace to draw and present our conclusions. As the sentiment of organic reviews improves, so will our summary.