How does it work?

Text mining, also known as text analytics or natural language processing (NLP), is a technology that enables computers to extract meaningful information and insights from unstructured text data. By employing techniques such as information retrieval, machine learning, and linguistic analysis, text mining facilitates tasks like sentiment analysis, topic modeling, named entity recognition, and document classification. It has diverse applications, including customer feedback analysis, market research, fraud detection, and content recommendation systems. Text mining empowers organizations to unlock valuable knowledge from vast amounts of textual information, leading to enhanced decision-making and improved understanding of human-generated content.