Text Analytics is a subset of Data Analytics that focuses on the analysis of unstructured text data. It is used to extract meaningful insights from large amounts of text-based data, such as customer feedback, social media posts, and emails. Text Analytics can be used to identify trends, detect sentiment, and uncover customer insights. It can also be used to detect anomalies, such as fraud or security threats. Text Analytics is used by a variety of industries, including healthcare, finance, retail, and media. It is used to gain insights into customer behavior, improve customer service, and optimize marketing campaigns. Some companies in the Text Analytics market include IBM, Microsoft, SAS, Google, and Clarabridge. Show Less Read more
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