Contextual comparative analysis with Unique to This Filter
Unique to this Filter in Luminoso Daylight combines open-ended text with key metadata for intuitive, powerful comparative analysis.
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Oct 21, 20195 min
Four misconceptions about AI text analytics
Organizations receive more text feedback than ever. Text analytics applications are now increasingly useful requiring little to no code.
Apr 2, 20193 min
Tracking a wearable product launch
Customer feedback analytics and ticket classification make for a successful wearable technology product launch.
Jul 11, 20183 min
How retailers are using AI to listen to customers
Learn how innovative retailers that seek to understand their customer feedback use text analytics for sustainable competitive advantage.
Jun 5, 20182 min
Ticket-wrangling with mobile game developers
In mobile game development, detecting game-breaking bugs during new releases is everything. Learn how text analytics can help.
Oct 5, 20173 min
Six questions (and answers) about analyzing customer feedback
We've compiled the top questions we’ve been asked as companies embark on analyzing their customer data.
Jan 10, 20173 min
Oscars, meet science
In advance of the Oscar nominations announcement, we used text analytics to predict winners.
Jan 5, 20171 min
Catherine Havasi featured in Inc.
One of the key challenges facing customer-centric companies today is how to make sense of the ever-increasing stream of feedback.
Nov 2, 20163 min
Whoever said surveys are dead is dead wrong
In a world where customers share feedback in a myriad of different ways ... are surveys still relevant?
Oct 5, 20163 min
7 steps for taking action on your customer insights
We’ve all heard the customer experience motto: customer-centric companies that listen to their customers...
Dec 17, 20143 min
Concept-based vs. keyword-based text analytics
In this blog, we explore the concept approach versus the keyword approach to text analytics.
Sep 4, 20137 min
Emoji and text analytics
If you write software that handles text, you should expect to have your fundamental assumptions about how text works shaken up about once...
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