Open-ended survey responses and free-form text stored in business systems and on social media promise a wealth of insight into consumer opinions. So it’s a shame that decoding those insights can be tedious and time consuming.
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But, help is at hand. Advances in technology have introduced text analytics as a means of automating and streamlining review, categorization, and the analysis of sentiment behind the text. While this technology is extremely valuable, researchers and CX pros often have a lot of questions about it: how it’s implemented, how it can be used to streamline their efforts, how accurate the analysis is, how customizable/configurable it is, and how it will impact their business.
In this on-demand webinar, we’ve brought together a panel of text analytics experts including, Jason Bryce, Lauren Azulay, and Alison Bushell, to answer the challenging questions about text analytics technology. They’ll answer questions like:
- What are the real benefits of text analytics?
- What type and how much data do you need?
- How do you categorize text and build a sustainable model?
- How do you analyze the output and extract real insights?
- And more!