Derive business intelligence from consumer reviews.

Detect negative/abusive reviews

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Classify product reviews posted by consumers

We can help you identify abusive, spam or stub product reviews

Our machine learning algorithms do the work with above 90% accuracy

You never have to hire costly data-scientist or crowd-source the task


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We provide RESTful APIs to classify reviews. Check our API Docs

Classify consumer reviews in actionable set of buckets

You choose what to display on your site, while we show you full analytics and actionable insights

Clock

Real Time Analytics

Our API can classify reviews in real-time and same is made available on dashboard instantly

Settings

Accurate Classification

Our models always perform with above 90% accuracy. We also keep improving it everyday so you always get best results

Bar chart

Actionable Dashboard

Reviews are classified in buckets so you can instantly identify top merchants with negative reviews or a reviwer posting abusive reviews

Use Cases

Check some sample use cases of our solution. You want to classify some other unstructured text apart from reviews? Contact US

Customers give negative reviews when they have complaints about product or service. TuringIQ can easily give you list of customers who gave negative reviews. This means you can take action immediately and solve customer issues.
Our APIs are real-time, which means as soon as customer gives positive review, you can show them options to share it on social media. This increases trust in the brand and brings network effects in picture which often leads to more sales for that perticular product.
TuringIQ dashboard aggregares all data and shows you in easily accessible manner. For example, you can see which consumers contstantly post useful reviews and you can reward them with some reward points to keep them motivated.
Check the screenshot of our dashboard. It divides reviews in buckets like products, categories and merchants. This means that you can perform queries like "which merchant has most negative reviews in past 7 days?" in seconds. Same is true for categories and products.

This aggregated dashboard help you to identify:
  • Which category has most negative reviews in last 30 days?
  • Which merchant has most positive reviews in last 15 days?
  • Which customer is posting most abusive reviews?
  • Which product is having most negative reviews?
This kind of insights help you identify issue with a product or a merchant immediately.

TuringIQ Dashboard for E-commerce

The dashboard is meticulously designed to be most useful for category managers, product managers and marketing teams.

Dashboard

Love the dashboard? Sign-Up and try Dashboard Demo

Contact Us

Now that you made it so far, we suggest you to have chat with us at

mail@turingiq.com

We are ready to solve problems related to text and image using machine learning and artificial intelligence


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