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Text mining software

In a data-driven world, effective and scalable text mining is key to getting value out of unstructured data.

It’s not easy to find your target audience, and it can be even harder to understand what influences their behaviour. Effective text mining can mitigate this challenge, but many existing options are unsuited for providing actionable insights.

Relative Insight’s text mining software helps you extract value from unstructured data without coding. Our platform takes a comparative approach to text analysis, using sophisticated natural language processing (NLP) methods to search, analyse and categorise text data.

Request a demo and one of our language experts will get in touch to better understand your needs and explain how Relative Insight might be able to help.


Using Twitter audience insights to analyse US and UK fan reactions to the NBA Finals

The cynic or the dreamer? Using Twitter audience insights to analyse US and UK fan reactions to the NBA Finals

Brand perception monitoring: analyzing survey open-ends to learn how different genders view brand inclusivity

Understanding the train passenger experience through social media competitor monitoring

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Relative Insight named in top-ten fastest growing tech firms at the Northern Tech Awards 2022

Relative Insight in the north’s top ten fastest-growing tech firms

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Deriving audience insight from social conversations about BeReal

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Interview with award-winning author and Relative Insight chairman David Pattison

Text analysis of audience reactions to Love Island fashion/Love Island clothing

From #ISIF to eBay: Analysing audience reactions to Love Island’s fashion partnership

Social listening text analysis: Wagatha Christie

Social insights into Wagatha Christie: when words go wrong