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Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges

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Название: Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges
Автор: Xiaochun Cheng, Preethi Nanjundan, Jossy P George
Издательство: River Publishers
Год: 2025
Страниц: 170
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of Artificial Intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data.

The book delves into Deep Learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition.

In addition to technical concepts, the book also addresses the ethical considerations surrounding NLP, emphasizing the responsible use of AI technologies to mitigate issues like bias, misinformation, and privacy concerns. Practical case studies and real-world examples are included to illustrate how NLP is applied in various sectors, including healthcare, finance, and customer service.

The NLTK (Natural Language Toolkit) is the primary Python API for NLP (natural language processing). It is a particularly effective tool for preparing text data for later analysis, such as using ML models. It helps convert words into numbers, which the model may make use of. An easy introduction to NLTK for beginners that also introduces Python begins with this part. Programming language processing is effectively introduced by Python’s natural language processing. It explains the fundamentals of creating Python programs, working with corpora, classifying text, analyzing linguistic structure, and more.

This book is an invaluable resource for students, researchers, and industry professionals seeking to understand the foundational concepts, cutting-edge advancements, and broader implications of NLP, equipping them with the knowledge to innovate and apply these technologies effectively in their respective fields.

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