Can Machine Learning Make Data More Human?
The short answer to this question is, yes.
First, it identifies insights and trends by collecting information –in this case, text– across all networks in any language. The text gathered is all-inclusive, from all social media channels –Facebook, Twitter, Instagram, LinkedIn and such– to chat forums, blogs and any other relevant platform where citizens are expressing their thoughts and opinions.
Next, proprietary machine learning algorithms go through the process of understanding the information. The AI technology sorts and structures the information into specific categories that need to be measured.
This is key because it allows decision makers to analyze relevant information for understanding the real-world conversation. This goes way beyond the numbers and the figures –it’s as if the data can now speak in a unified voice; in a voice that leaders can hearand understand.