Concept Map Generation from Domain Text Using Machine Learning and Deep Learning Techniques - Softcover
Synopsis
The generation of concept maps from domain text using machine learning and deep learning techniques is a promising area of research that aims to assist in the organization and comprehension of information. Concept maps are graphical representations of knowledge that can help learners understand and remember complex information. The automatic generation of concept maps from domain text can be challenging, as it requires the extraction of relevant concepts and their relationships from unstructured text data. Machine learning and deep learning techniques have been applied to this task with promising results. These techniques involve training models on large amounts of text data and using them to predict the relationships between concepts in new text data. This approach can help researchers and educators efficiently generate concept maps from domain text and improve learning outcomes for learners.
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Concept Map Generation from Domain Text Using Machine Learning and Deep Learning Techniques (Paperback or Softback)
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Independent Author 2/20/2023, 2023
ISBN 10: 4358670970
ISBN 13: 9784358670979
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CONCEPT MAP GENERATION FROM DOMAIN TEXT USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
Published by
independent Author, 2023
ISBN 10: 4358670970
ISBN 13: 9784358670979
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CONCEPT MAP GENERATION FROM DOMAIN TEXT USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The generation of concept maps from domain text using machine learning and deep learning techniques is a promising area of research that aims to assist in the organization and comprehension of information. Concept maps are graphical representations of knowledge that can help learners understand and remember complex information. The automatic generation of concept maps from domain text can be challenging, as it requires the extraction of relevant concepts and their relationships from unstructured text data. Machine learning and deep learning techniques have been applied to this task with promising results. These techniques involve training models on large amounts of text data and using them to predict the relationships between concepts in new text data. This approach can help researchers and educators efficiently generate concept maps from domain text and improve learning outcomes for learners. Seller Inventory # 9784358670979
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CONCEPT MAP GENERATION FROM DOMAIN TEXT USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
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Taschenbuch. Condition: Neu. CONCEPT MAP GENERATION FROM DOMAIN TEXT USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES | Kodaika Virin Adan U | Taschenbuch | Englisch | 2023 | independent Author | EAN 9784358670979 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 126685820
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