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  1. Natural Language Processing

    Knowledge is very often hidden in unstructured sources like text. Natural Language Processing (NLP) technology is key when it comes to extracting...
    Umutcan Serles, Dieter Fensel in An Introduction to Knowledge Graphs
    Chapter 2024

  2. Natural Language Processing

    This introductory chapter begins with human language and intelligence constituting six levels of linguistics followed by a brief history of NLP with...
    Raymond S. T. Lee in Natural Language Processing
    Chapter 2024

  3. Natural Language Processing

    In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense...
    Santanu Pattanayak in Pro Deep Learning with TensorFlow 2.0
    Chapter 2023

  4. Natural Language Processing

    In this chapter, we will develop a natural language processing (NLP) application from scratch. This application will demonstrate how it works as well...
    Sujay Raghavendra in Beginner's Guide to Streamlit with Python
    Chapter 2023

  5. Natural Language Processing

    Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to...
    Barry Walsh in Productionizing AI
    Chapter 2023

  6. Basics of Natural Language Processing

    In this chapter, we review the basics of Natural Language Processing and we apply them to the problem of sentiment analysis from text data....
    Laura Igual, Santi Seguí in Introduction to Data Science
    Chapter 2024

  7. Natural Language Processing

    With the continuous development of social platforms and content platforms, it has become increasingly common to use the Internet as a carrier for...
    Wang He, Peng Liu, Qian Qian in Machine Learning Contests: A Guidebook
    Chapter 2023

  8. Natural Language Processing Using PyTorch

    Natural language processing is an important branch of computer science. It is the study of human language by computers performing various tasks....
    Pradeepta Mishra in PyTorch Recipes
    Chapter 2023

  9. Fundamentals of Natural Language Processing

    The goal of natural language processing is to create machines that comprehend text or voice data and respond in a manner similar to how humans do by...
    Krunal S. Trivedi in Microsoft Azure AI Fundamentals Certification Companion
    Chapter 2023

  10. Natural Language Processing A Textbook with Python Implementation

    This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key...

    Raymond S. T. Lee
    Textbook 2024

  11. Growth and Branching of Natural Language Processing

    In the field of language, although there has been a long history of continuous work, there was a large distance between linguistic research and...
    Masayuki Ida in A Narrative History of Artificial Intelligence
    Chapter 2024

  12. Specific Problems of Natural Language Processing

    Natural Language Processing(NLP) is a field going far beyond the scope of DS.
    Tomas Hrycej, Bernhard Bermeitinger, ... Siegfried Handschuh in Mathematical Foundations of Data Science
    Chapter 2023

  13. Introduction to Natural Language Processing of Clinical Text

    Clinical and biomedical natural language processing (NLP) has a wide range of practical applications in clinical and biomedical research, quality...
    Dina Demner Fushman, Hua Xu in Natural Language Processing in Biomedicine
    Chapter 2024

  14. Natural Language Processing in Biomedicine A Practical Guide

    This textbook covers broad topics within the application of natural language processing (NLP) in biomedicine, and provides in-depth review of the NLP...
    Hua Xu, Dina Demner Fushman in Cognitive Informatics in Biomedicine and Healthcare
    Textbook 2024

  15. Introduction to Natural Language Processing

    Natural language processing (NLP) aims to make computers process human languages. NLP has a wide variety of applications today. You may already be...
    Umesh R. Hodeghatta, Umesha Nayak in Practical Business Analytics Using R and Python
    Chapter 2023

  16. Explainability for Natural Language Processing

    Natural language processing tasks such as text classification and sentiment analysis can be explained using explainable AI libraries such as SHAP and...
    Pradeepta Mishra in Explainable AI Recipes
    Chapter 2023

  17. A Course in Natural Language Processing

    Natural Language Processing is the branch of Artificial Intelligence involving language, be it in spoken or written modality. Teaching Natural...
    Yannis Haralambous
    Textbook 2024

  18. Transformers in Natural Language Processing

    This chapter presents an overview of the state-of-the-art in natural language processing, exploring one specific computational architecture, the...
    François Yvon in Human-Centered Artificial Intelligence
    Chapter 2023

  19. Natural Language Processing for Policymaking

    Language is the medium for many political activities, from campaigns to news reports. Natural language processing (NLP) uses computational tools to...
    Zhi**g **, Rada Mihalcea in Handbook of Computational Social Science for Policy
    Chapter Open access 2023

  20. Knowledge-augmented Methods for Natural Language Processing

    Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training...

    Meng Jiang, Bill Yuchen Lin, ... Chenguang Zhu in SpringerBriefs in Computer Science
    Book 2024
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