Hands-On Implementation of NLP Models

Hands-On Implementation of NLP Models is a comprehensive guide designed to bridge the gap between theoretical concepts and practical applications in Natural Language Processing (NLP). The book covers fundamental NLP concepts advanced models and real-world applications.Chapters include an introduction to NLP basics like text preprocessing and tokenization classical models such as Naive Bayes and Support Vector Machines and deep learning techniques including LSTM and transformer models like BERT and GPT. Practical chapters demonstrate building NLP models with Python real-world case studies and end-to-end project implementations.