Buch, Englisch, 444 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 715 g
Buch, Englisch, 444 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 715 g
Reihe: Studies in Fuzziness and Soft Computing
ISBN: 978-3-642-07225-3
Verlag: Springer
This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
Weitere Infos & Material
Introduction: Machine Learning in a Semiotic Perspective.- Introduction: Machine Learning in a Semiotic Perspective.- Information Modeling.- Precisiated Natural Language.- On the Issue of Linguistic Approximation.- A Semiotic Approach to Complex Systems.- Models of Semantic Spaces.- On the Mathematics of Semantic Spaces.- Models of Semantic Spaces.- Compositionality in Quantitative Semantics. A Theoretical Perspective on Text Mining.- Quantitative Linguistic Modeling.- A Structuralist Framework for Quantitative Linguistics.- Quantitative Analysis of Syntactic Structures in the Framework of Synergetic Linguistics.- Latent Connotative Text Structure.- Corpus Linguistic and Text Technological Modeling.- Inferring Meaning: Text, Technology and Questions of Induction.- Linguistic Information Modeling: From Kilivila Verb Morphology to RelaxNG.- Affix Discovery by Means of Corpora: Experiments for Spanish, Czech, Ralámuli and Chuj.- Licensing Strategies in Natural Language Processing.- Text Categorization and Classification.- The Surface of Argumentation and the Role of Subordinating Conjunctions.- Computing with Words for Text Categorization.- Neural Networks, Fuzzy Models and Dynamic Logic.- Cognitive Modeling.- A Cognitive Systems Approach to Automatic Text Analysis.- System Theoretical Research on Language and Communication: The Extended Experimental-Simulative Method.- Visual Systems Modeling.- The Dimensionality of Text and Picture and the Cross-Cultural Organization of Semiotic Complexes.
