Text Analytics Tool For eCommerce Opinions

The technological breakthrough that empowers any role within the organization to access valuable granular, and digested consumer opinion data, right when they need it!

Always On The Lookout
Be The First To Know About New Topic And Trends in Real-Time
Keep a Finger On The Pulse of Your Customers and Be Quick To React
Lose Sight of Your Competition & Industry

From Unstructured eCommerce Consumer Feedback Data
To Actionable Insights

Leveraging our expertise in machine learning, natural language processing, sentiment analysis, and big data – we’ve created technology that knows exactly what your customers mean when they’re talking about your brand, products or features.

eCommerce Big Data Collection

Whether it’s eCommerce reviews, social media engagements, your CRM, email correspondence, surveys, call center data, or a variety of other online and & offline sources. Our Analytics Engine can easily access and scan billions of data points every month.

Machine Learning & Sentiment Analysis

Applied o eCommerce Reviews from multiple sources, Revuze’ machine learning algorithms discover new aspects/topics in each product category – automatically and independently build a unique taxonomy for each.

This self-learning technology teaches itself about the world of your products, compares it with the industry benchmark and maximizes the value of the insights it provides

Human-Like Understanding

Our meaning-sensitive technology masters contextual understanding and cracks even the most misleading ambiguities. Featuring outstanding accuracy and performance even in the face of extensive data. Revuze recognizes multiple ways of referring to the same idea and identifies the right sentiment even in seemingly non-sentiment sentences.

Getting The Context

Revuze automatically categorizes, identifies, and extracts trends and topics from unstructured data – understanding context with exceptionally high precision and delivering truly actionable business insights. Revuze contextual intelligence understands topics and sentiment, regardless of the actual words customers use. With no manual keyword definition.

Identifying The Sentiment

Revuze sentiment analysis combines the power of computational linguistics, text analysis, and natural language processing to clarify subjectivity in customer perceptions. We filter customer attitude, recognizing contextual polarity and interpolating judgement, affective state, and intended emotional communication to create easy-to-understand and usable analysis.

“Our partnership with Revuze has empowered our teams to make faster, better decisions about product, positioning, and how we go to market.”
Shae Hong, founder and ceo of Made by Gather

Over 500 brands worldwide trust Revuze

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