Natural Language Analytics with Generative Large-Language Models

Language: English

Published by Springer, Springer Feb 2025, 2025

303176630X / 9783031766305

Series: Book 74 of 103 - SpringerBriefs in Computer Science

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This item is printed on demand - Print on Demand Titel. Neuware -This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights.The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure.Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data-qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 100 pp. Englisch.…

Seller Inventory # 9783031766305

Title
Natural Language Analytics with Generative Large-Language Models
Author
Francisco S. Marcondes
Publisher
Springer, Springer Feb 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
303176630X
ISBN 13
9783031766305
Item weight
166 grams
Dimensions
235x155x6 mm
Series
Book 74 of 103: SpringerBriefs in Computer Science

buchversandmimpf2000

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