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Software for text analysis, also known as text analytics or text mining software, assists users in extracting insights from both structured and unstructured text data through natural language processing (NLP). These insights encompass sentiment analysis, identifying key phrases, language identification, recognizing themes and patterns, and detecting entities, among other capabilities. These solutions harness the power of NLP and machine learning to extract diverse insights and offer visual representations of the data for easier comprehension. Text analysis tools are capable of processing text data from various sources, such as emails, phone call transcripts, surveys, customer feedback, and other textual documents. By ingesting text data from these diverse channels, businesses can enhance their ability to comprehend and analyze customer or employee sentiment, intelligently categorize documents, and enhance written content. Text analysis software can be integrated with other analytical tools, including big data analytics and business intelligence platforms, to further augment data analysis capabilities.