Post by ester22 on Mar 27, 2024 10:56:31 GMT
We are in a place now where maybe there are one or two questions, the data-specific data points that need to be captured. But more importantly, what is intended is to tell us how your experience was or give us your feedback or show us how you’re feeling. That’s it, it’s a single question. And by clicking on the opportunity to leave a video or indeed audio, we open up. Typically, we would see six times the amount of words somebody will say in a video than the number of words they would type in an open-ended text question in a survey. Also, people will describe more than one issue versus when they are typing away, where they may just stick to one.
But we often see four or five different Australia Email List themes that emerge from people talking on camera. We have seen the rate of response increase significantly over the course of the last 18 months. We are all just becoming more used to video and sharing our faces and using it from a technology perspective. Now, the real challenge is to send this to hundreds of thousands of customers. That makes up a lot of data! It’s a massive amount of data, but the world is awash with big data right now along with the infrastructures, the processing and the machine learning capabilities to analyse it. And actually, that is the magic of LivingLens.
We take video content that is historically impenetrable to analyse – video is difficult to analyse. But we take what people say. We use machines, speech to text in a very wide range of languages, and we turn that into unstructured written text. And actually, the text analytics industry and capabilities within that industry is pretty mature. Video interviewing leads to sentiment analysis We have a very sophisticated machine learning set of modules that allows us to understand at scale what people are talking about, which key themes are emerging, and what are the differences in those themes.
But we often see four or five different Australia Email List themes that emerge from people talking on camera. We have seen the rate of response increase significantly over the course of the last 18 months. We are all just becoming more used to video and sharing our faces and using it from a technology perspective. Now, the real challenge is to send this to hundreds of thousands of customers. That makes up a lot of data! It’s a massive amount of data, but the world is awash with big data right now along with the infrastructures, the processing and the machine learning capabilities to analyse it. And actually, that is the magic of LivingLens.
We take video content that is historically impenetrable to analyse – video is difficult to analyse. But we take what people say. We use machines, speech to text in a very wide range of languages, and we turn that into unstructured written text. And actually, the text analytics industry and capabilities within that industry is pretty mature. Video interviewing leads to sentiment analysis We have a very sophisticated machine learning set of modules that allows us to understand at scale what people are talking about, which key themes are emerging, and what are the differences in those themes.