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How text mining can help you understand your customer needs

How text mining can help you understand your customer needs

23 Jun 2023
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Data AnalyticsData VisualisationData Transformation
Piers AlingtonPiers AlingtonFounder and Consultant at Alington Consulting

Founder, Piers Alington, takes on the role as consultant at his company Alington Consulting Ltd. For 20+ years Piers was co-founder and CEO of a pioneering text analysis technology firm – Feedback Ferret. Over that time, he has helped clients to develop powerful text analytics solutions and to get real value from this insight.

Piers is equally at home with developing strategies, data management, hands-on system usage, insight analysis, deep dive reporting, presenting to staff at every level - and more.

Now as an independent consultant, Piers helps clients, from those who are just starting out with feedback and text analytics, to more established users who want to get better value from their existing programmes.

Description

Text mining has many different alias' - sentiment analysis, text analysis, natural language processing. But whatever you call it, they all share the same purpose - turning unstructured customer feedback into "meaningful, categorised information". But what does this actually mean and how do you do it? Piers Alington, data-pioneer and consultant at Alington Consulting, joins the Streamly Studio to help make sense of text mining.

Table Of Contents
Understanding the power of language
The breadth and spread of language is neither straight-forward nor easy to group together. Alington discusses how a text mining machine can interpret and categorise the language people choose to use every day.
The 2-step method to text mining insights
Gleaning data from text mining is just the first step of the process, next is knowing how to present that data as insight for the company. Alington explains the 2-step effort that's needed for championing text mining in the workplace.
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