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Titlebook: Aspects of Automatic Text Analysis; Alexander Mehler,Reinhard K?hler Book 2007 Springer-Verlag Berlin Heidelberg 2007 calculus.classificat

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發(fā)表于 2025-3-21 19:11:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Aspects of Automatic Text Analysis
影響因子2023Alexander Mehler,Reinhard K?hler
視頻videohttp://file.papertrans.cn/164/163051/163051.mp4
發(fā)行地址Presents recent developments in automatic text analysis.Overview of linguistic modeling.Includes chaptes on cognitive modeling and visual systems modeling
學(xué)科分類Studies in Fuzziness and Soft Computing
圖書(shū)封面Titlebook: Aspects of Automatic Text Analysis;  Alexander Mehler,Reinhard K?hler Book 2007 Springer-Verlag Berlin Heidelberg 2007 calculus.classificat
影響因子.The significance of natural language texts as the prime information structure for the management and dissemination of knowledge is - as the rise of the web shows - still increasing. Making relevant texts available in different contexts is of primary importance for efficient task completion in academic and industrial settings. Meeting this demand requires automatic form and content based processing of texts, which enables to reconstruct or even to explore the dynamic relationship of language system, text event and context type. The rise of new application areas, disciplines and methods (e.g. text and web mining) testify to the importance of this task. Moreover, the growing area of new media demands the further development of methods of text analysis with respect to their computational linguistic, information theoretical, and mathematical underpinning. This book contributes to this task. It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis from several (i.e. linguistic, mathematical, and information theoretical) perspectives. It describes methodological as well as methodical foundations and collects approaches in the fi
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Book 2007It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis from several (i.e. linguistic, mathematical, and information theoretical) perspectives. It describes methodological as well as methodical foundations and collects approaches in the fi
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Introduction: Machine Learning in a Semiotic Perspectives constrained by the ., consistency profiles allow mapping the transition from negative to positive predication to any degree. This enabled Black to provide a framework for the classification of predicates according to their vagueness and ambiguity. In other words: ..
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Models of Semantic Spacesent approaches which use metric spaces for the representation of meanings of linguistic units. The aim is to demonstrate the similarities of apparently different approaches and to inspire the generalisation of semantic spaces tailored to the representation of texts to arbitrary semiotic artefacts.
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A Structuralist Framework for Quantitative Linguistics helps to unify different approaches and algorithms in quantitative linguistics. We consider the linguistic tradition of structuralism as a basis for such a framework. In what follows, we focus on syntagmatic and paradigmatic relations and attempt to describe them in a coherent way. We present an ab
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