The huge volume of data available through consumer comments, reviews and surveys can make cutting through the noise difficult. In this article we discuss how text analytics combined with human expertise can uncover the insight.
Online surveys suffer from fake, ill considered and unrepresentative responses. What can be done to improve their reliability? Triangulation is the key.
With the January transfer window closed, we run our predictive model to work out the probabilities of where each team will finish in the final Premier League table.
In this latest article in our series on the power of text analytics we look at how sentiment analysis can be used to really understand what customers think about product offerings.
Start making sense of customer review and feedback data by using text analytics. In the first of a series of articles we discuss how it can help your business.