EDA

BERT: A Revolutionary Step in Natural Language Processing

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BERT

Introduction Natural Language Processing (NLP) is a cornerstone of modern artificial intelligence, enabling machines to understand, interpret, and generate human language in a way that is natural and useful. Over the years, various models have been developed to improve the way machines handle language. Among these, Bidirectional Encoder Representations from Transformers (BERT) stands out as … Read more

Exploratory Data Analysis in Natural Language Processing

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The primary goals of EDA in NLP include understanding data distribution, identifying patterns, detecting outliers, and uncovering relationships among variables. These insights allow data scientists to formulate hypotheses, guide data collection, and inform model selection and tuning.