Aspects of Automatic Text Analysis (Studies in Fuzziness and Soft Computing) 〈Vol. 209〉

個数:

Aspects of Automatic Text Analysis (Studies in Fuzziness and Soft Computing) 〈Vol. 209〉

  • 提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
    3. 美品のご指定は承りかねます。

    ●3Dセキュア導入とクレジットカードによるお支払いについて
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Hardcover:ハードカバー版/ページ数 460 p.
  • 言語 ENG
  • 商品コード 9783540375203
  • DDC分類 006

基本説明

Features: Overview of linguistic modeling; Includes chaptes on cognitive modeling and visual systems modeling.

Full Description

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 field of text and corpus linguistics. In this sense, it contributes to the computational linguistic and information theoretical grounding of automatic text analysis.

Contents

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.

最近チェックした商品