This MathWorks white paper introduces text analytics in MATLAB, covering applications like topic modeling, classification, sentiment analysis, and summarization. It outlines a four-step workflow: access/explore text data, preprocess (remove stop words, punctuation), build predictive models using machine/deep learning, and share results. Examples show how to clean and visualize data, create summaries, and use methods like bag-of-words and LDA to uncover patterns. The paper demonstrates applying models to classify new text and suggests deployment options—reports, apps, and web hosting—to integrate insights into decision-making workflows.

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