What Is Text Analytics?

Magnifying glass on laptop with the words text analytics
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Written by Robyn Coppell

Text analytics is a computational field that draws heavily from the machine learning and statistical modelling niches, as well as the linguistics space.

In this space, computers are used to analyse text in a way that is similar to a human’s reading comprehension.

This opens the door for incredible insights to be unlocked on a scale that was previously inconceivable without massive amounts of manual intervention.

Text analytics is a perfect fit for areas in which information of value can be found buried under a large amount of less valuable information.

Researchers would normally need to engage in lengthy and extremely arduous discovery processes to unearth such insights from so-called “unstructured” text. This translates to high costs and low rewards on a regular basis.

Text analytics challenges such an approach by offering a viable means of doing the same without requiring human beings to pore over mountains of unstructured words, phrases and documents.

Thanks to CallMiner

Author
Robyn Coppell

Robyn Coppell has worked as Digital Content Manager for Call Center Helper since 2021. After University her first job was in a contact centre and has stayed in this space ever since.

She has experience of contact centre operational management, software systems, css and php coding. She edits a lot of the guest content that is published on Call Centre Helper.

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