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Text mining is the extraction of meaningful information from unstructured text data using techniques from NLP, machine learning, and data mining. The process involves steps such as data collection, preprocessing, tokenization, feature extraction, analysis, and visualization. Additionally, effective data visualization enhances persuasion by making quantitative data more understandable and impactful, while the QA pipeline relies on preprocessing, entity recognition, syntactic parsing, and information retrieva

Author

sathwikpothamsetty67

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EN