Introduction to Natural Language Processing by Xiaochun Cheng (.ePUB)

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File Size: 10 MB

Introduction to Natural Language Processing: Exploring Techniques, Applications, and Challenges by Xiaochun Cheng, Preethi Nanjundan, Jossy P George
Requirements: .ePUB reader, 10 MB
Overview: 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. 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.
Genre: Non-Fiction > Tech & Devices

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