Text mining is a powerful technique used to extract meaningful insights from vast amounts of unstructured text data. By applying methods like natural language processing (NLP), sentiment analysis, and topic modeling, businesses can analyze customer feedback, social media content, and reviews to uncover trends and patterns. Techniques such as tokenization, stemming, and TF-IDF (Term Frequency-Inverse Document Frequency) help structure text data for analysis. Text mining is widely used in industries like marketing, finance, and healthcare to improve decision-making and enhance customer experiences, making it a vital skill for data analysts and business professionals.

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