Text Mining Technology is a computational approach that extracts insights from unstructured text using natural language processing (NLP), machine learning, and statistical methods. It involves techniques like text classification, sentiment analysis, named entity recognition, and topic modeling to process and analyze large volumes of text data. Businesses and researchers use text mining for applications such as customer feedback analysis, social media monitoring, legal document processing, and healthcare insights.