Contextual Semantic Search

Classify text based on the concept they relate to.

Contextual Semantic Search

Contextual Semantic Search is a smart search algorithm designed to classify textual data based on concept they relate to. The way CSS works is that it takes thousands of messages and a concept as input and filters all the messages that closely match with the given concept.

How Does Contextual Semantic Search Work?

Contextual Semantic Search is a deep learning powered advanced text classifier.
An intelligent AI technique is used to convert every word into a specific point in the hyperspace and the distance between these points is used to identify messages where the context is similar to the concept we are exploring.

Contextual Semantic Search Use Cases

To derive actionable insights, it is important to understand what aspect of the brand is a user discussing about.
For example: Amazon would want to segregate messages that related to: late deliveries, billing issues, promotion related queries, product reviews etc. Contextual Semantic Search takes thousands of messages and a concept (like Late Delivery) as input and filters all the messages that closely match with the given concept.

Note: This is not available as an API. Contact us for Contextual Semantic Search related solutions.

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