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Text Analysis 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 data, such as customer feedback, social media posts, and emails. Text Analysis techniques include natural language processing (NLP), sentiment analysis, and topic modeling. These techniques are used to identify patterns and trends in text data, and to gain insights into customer sentiment and preferences.
Text Analysis is used in a variety of industries, including marketing, customer service, healthcare, and finance. It is used to gain insights into customer sentiment, identify customer needs, and improve customer experience.
Companies in the Text Analysis market include IBM, Microsoft, Google, Amazon, SAS, Clarabridge, and Lexalytics. Show Less Read more