Yabble Adds New Text Analysis Feature

In New Zealand, insights platform Yabble has added a feature called Count to its Hey Yabble product, to help analyze unstructured text data for theme and sub-theme counts, and then add sentiment analysis to provide an understanding of audiences.

Founded in 2013 by former Kantar exec Kathryn Topp (pictured) and branding specialist Rachel O'Shea, Yabble uses machine learning and natural language processing to help brands connect with more than 62 million consumers globally, and collect data in real time. Users can build their own surveys and manage their own customer research communities, and consumers can share ideas, feedback and experiences about the products they use. Last year, the company raised $NZ 3m for expansion into Australia and then the US.

The new Hey Yabble Count solution joins the existing Hey Yabble Query feature, which promises to improve productivity and save hours of manual work, while creating business insights. According to Yabble, the result is detailed understanding of text data that allows users to view the most talked-about subjects within a particular dataset and instantly highlight where the biggest drivers and inhibitors of their businesses lie, free of potential human bias.

Topp comments: 'Hey Yabble's fully automated insights engine can now count, read, analyse, and summarise any unstructured text data at a complete level in a matter of minutes - as opposed to days when done manually. This gives users the unmatched and incredibly valuable opportunity of addressing an insight much more quickly, allowing them to spend more activating against the insight and less time processing data'.

The firm, which also has an office in California, is online at www.yabble.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.