Text analytics can be divided into two main categories: clustering and classification. Data is analysed based on classification, which looks at specific traits. Using clustering, comparable pieces of data are grouped together. There is no denying that text analytic is advantageous to companies. Here are a few advantages of Text Analytics. Improved client services Customers anticipate prompt responses from businesses to their queries and grievances. Now, businesses can reply to these questions via social media, email, or text messaging. Marketing has been improved since marketing teams may now receive immediate feedback on their efforts. They are able to spot patterns and trends in the actions of their audience. Increased productivity - By automating procedures, businesses can save time and money. Employees can concentrate on higher value work thanks to automated technologies that take care of the manual tasks.
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