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Text analytics is a process of analyzing unstructured data to extract valuable insights and information. This process can be used to understand customer sentiment, analyze customer feedback, and much more. There are four key trends in text analytics technology, such as the rise of artificial intelligence (AI) and machine learning (ML), the increasing popularity of cloud-based solutions, and the growing need for real-time data analysis. The key drivers of the Text Analytics market include the increasing need for businesses to make sense of the huge amount of data being generated, the need for more accurate insights, and the growing demand for personalized customer experiences.