How to detect return intent in online reviews?

Determining intent within review texts and intent analysis for streamed or batch processed data can be a challenging task because it involves combining reviews from multiple sources and processing large volumes of data using NLP algorithms.

Determining whether customers intend to return to a product or a service based on their reviews requires sentiment and intent analysis.

With Datastreamer, you can create a powerful pipeline to fetch content from multiple review data sources simultaneously. Utilizing the Unify Schema component standardizes all incoming data and allows you to add content analysis operations to your pipeline. There are multiple operations which can be used individually or in combination to analyse intent. Finally, the AI Sentiment Classifier and Intent Classifier can be used together to identify positive and negative intent within review text.

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