Description

This book offers a comprehensive foundation in Natural Language Processing (NLP), covering essential linguistic concepts, preprocessing, and language modeling. It delves into core algorithms like word embeddings, text classification, sequence modeling, and transformers. Practical NLP applications such as machine translation, sentiment analysis, and chatbots are thoroughly explored. The book also addresses advanced topics like multilingual models, ethical concerns, and bias in AI systems. Finally, it highlights future trends, including prompt engineering, multimodal NLP, and domain-specific applications in fields like healthcare and education.

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This book offers a comprehensive foundation in Natural Language Processing (NLP), covering essential linguistic concepts, preprocessing, and language modeling. It delves into core algorithms like word embeddings, text classification, sequence modeling, and transformers. Practical NLP applications such as machine translation, sentiment analysis, and chatbots are thoroughly explored. The book also addresses advanced topics like multilingual…