AI & NLP
Can you trust AI when you don't understand the way it makes decisions? Or do you need control? Learn how AI and people can collaborate to get the best insights from feedback faster.
When you have a lot of text feedback, how do you begin to make sense of it all? One of the best approaches is thematic analysis.
When it comes to analyzing feedback, AI can be your best friend. But can you trust text analytics software if you don’t understand how it works?
When we conduct qualitative methods of research, need to explain changes in metrics or understand people's opinions, we always turn to qualitative data. Qualitative data is typically generated through: * Interview transcripts * Surveys with open-ended questions * Contact center transcripts * Texts and documents * Audio and video recordings * Observational notes Compared to quantitative
Text analytics has been around for dozens of years and several hype cycles. The most recent one, in 2020, is attributed to GPT-3, a proprietary language model. It’s basically a giant black box that costs an estimated $12 million to train. A language model means that if you give
Become a qualitative theming pro! Creating a perfect code frame is hard, but thematic analysis software makes the process much easier.
What is GPT-3 exactly? And what does this new AI model mean for customer feedback analysis?
Many organisations, large or small, gather customer feedback to improve their CX efforts and ultimately their bottom line. But gathering feedback alone can’t make much of a difference. We need to analyze our feedback to discover insights that inspire us to drive action at our organisations. Enter; Text Analytics
At Thematic, we have a dedicated research team that is always innovating to bring you the most accurate sentiment and thematic analysis. Solving this difficult task requires in-depth understanding of both the problem of customer feedback analysis and the relevant advances in technology. This article is a glimpse into one
Before we get into the nitty gritty detail of Unified Data Analytics, let’s remind ourselves of the cautionary tale of a pioneer of the Internet… Have you ever heard of Netscape? This company, which created one of the first web browsers, is most famous for its downfall: Once owning
At Thematic, we’ve spent years researching, designing and developing our customer feedback analysis platform. While I’d love for everyone to be using ours, I understand that you might have the resources, time and the data required to build one in-house. There are benefits to building vs. buying. You
In discussions with potential customers, we often hear the question, "How accurate is Thematic? This usually comes up for two reasons: “I’ve been doing the analysis myself. I don’t want to compromise the accuracy when handing this task over to an automated solution.” “I realize that doing things