Text analytics in action
William Wagstaff • 17 November 2021
We apply text analytics to user reviews to see who is winning the console wars
There is so much information out there about
brand, products and people. Ratings and review sites, social media and customer feedback channels have masses of data that can give you important access to the voice of the customer.
Most of this incredible insight is unstructured and this is where we help. We make sense of huge amounts of free form text by categorising it into coherent topics and extracting sentiment from it. Text analytics can help you understand what your customers care about, what they feel about your products and how they engage with them. It can help evaluate how products compare and their relative strengths and weaknesses.
Further,our text analytics identifies the drivers of satisfaction, improves customer retention and increases profitability.
In this new report, we analyse thousands of user reviews on the PS5, Xbox and Nintendo Switch to demonstrate how we undertake text analytics.
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.
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Online surveys suffer from fake, ill considered and unrepresentative responses. What can be done to improve their reliability? Triangulation is the key.
With so many agency panels riddled with fake respondents resulting in poor quality data, are we witnessing the end of the online survey?
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.
The true value of review sites lies in going beyond the stars and analysing what reviewers are actually saying.
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.