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Statistical semantics = methods and ...

Sikstrom, Sverker.

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Statistical semantics = methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical semantics/ edited by Sverker Sikstrom, Danilo Garcia.
其他題名:	methods and applications /
其他作者:	Sikstrom, Sverker.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xvi, 262 p. :ill., digital ;24 cm.
內容註:	Part I. Methods -- Chapter 1. Introduction to Statistical Semantics; Ricardo Olmos -- Chapter 2. What is Meaning?; Johan Willander -- Chapter 3. Preparing Corpus for Semantic Representations; Christian Hardmeier -- Chapter 4. Creating Semantic Representations; Guillermo de Jorge Botana -- Chapter 5. Software for Creating and Analyzing Semantic Representations; Christian Hardmeier -- Chapter 6. Semantic Scales and Tests; Farhan Sawar, Danilo Garcia and Sverker Sikstrom -- Chapter 7. Predicting Numbers from Texts; Sverker Sikstrom -- Chapter 8. Replacing Likert-Scales with Semantic Questions -- Chapter 9. Clustering and Other Methods in Statistical Semantics; Rasmus Baath and Sverker Sikstrom -- Part II. Applications -- Chapter 10. Neuroscience: Atypical Associations to Abstract Words in Broca's Aphasia; Mikael Roll, Frida Martensson, Sverker Sikstrom, Pia Apt, Rasmus Arnling-Baath and Merle Horne -- Chapter 11. Cognitive Psychology; The Application of Statistical Semantics in Memory Research; Kristina Karlsson, Sverker Sikstrom and Johan Willander -- Chapter 12. Personality and Happiness; The Happy Life Story; Danilo Garcia and Sverker Sikstrom -- Chapter 13. Forensic Psychology: Studying Lying Behavior with Semantic Spaces; Farhan Sarwar and Sverker Sikstrom -- Chapter 14. Social Psychology: Evaluations of Social Groups with Statistical Semantics; Marie Gustafsson and Torun Lindholm -- Chapter 15. Linguistics: Application of Statistical Semantics to Predict Linguistic Maturity and Language Impairment in Children; Kristina Hansson, Birgitta Sahlen, Rasmus Baath, Simone Lohndorf and Sverker Sikstrom -- Chapter 16. The Future of Statistical Semantics: Concluding Remarks and Suggestion for Future Research.
Contained By:	Springer eBooks
標題:	Semantics - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-3-030-37250-7
ISBN:	9783030372507

Statistical semantics = methods and applications /
Statistical semanticsmethods and applications /[electronic resource] :edited by Sverker Sikstrom, Danilo Garcia. - Cham :Springer International Publishing :2020. - xvi, 262 p. :ill., digital ;24 cm.

Part I. Methods -- Chapter 1. Introduction to Statistical Semantics; Ricardo Olmos -- Chapter 2. What is Meaning?; Johan Willander -- Chapter 3. Preparing Corpus for Semantic Representations; Christian Hardmeier -- Chapter 4. Creating Semantic Representations; Guillermo de Jorge Botana -- Chapter 5. Software for Creating and Analyzing Semantic Representations; Christian Hardmeier -- Chapter 6. Semantic Scales and Tests; Farhan Sawar, Danilo Garcia and Sverker Sikstrom -- Chapter 7. Predicting Numbers from Texts; Sverker Sikstrom -- Chapter 8. Replacing Likert-Scales with Semantic Questions -- Chapter 9. Clustering and Other Methods in Statistical Semantics; Rasmus Baath and Sverker Sikstrom -- Part II. Applications -- Chapter 10. Neuroscience: Atypical Associations to Abstract Words in Broca's Aphasia; Mikael Roll, Frida Martensson, Sverker Sikstrom, Pia Apt, Rasmus Arnling-Baath and Merle Horne -- Chapter 11. Cognitive Psychology; The Application of Statistical Semantics in Memory Research; Kristina Karlsson, Sverker Sikstrom and Johan Willander -- Chapter 12. Personality and Happiness; The Happy Life Story; Danilo Garcia and Sverker Sikstrom -- Chapter 13. Forensic Psychology: Studying Lying Behavior with Semantic Spaces; Farhan Sarwar and Sverker Sikstrom -- Chapter 14. Social Psychology: Evaluations of Social Groups with Statistical Semantics; Marie Gustafsson and Torun Lindholm -- Chapter 15. Linguistics: Application of Statistical Semantics to Predict Linguistic Maturity and Language Impairment in Children; Kristina Hansson, Birgitta Sahlen, Rasmus Baath, Simone Lohndorf and Sverker Sikstrom -- Chapter 16. The Future of Statistical Semantics: Concluding Remarks and Suggestion for Future Research.

This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.

ISBN: 9783030372507

Standard No.: 10.1007/978-3-030-37250-7doiSubjects--Topical Terms:

3458861
Semantics
--Statistical methods.

LC Class. No.: P325.5.S78 / S738 2020

Dewey Class. No.: 401.43

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505 0 $a Part I. Methods -- Chapter 1. Introduction to Statistical Semantics; Ricardo Olmos -- Chapter 2. What is Meaning?; Johan Willander -- Chapter 3. Preparing Corpus for Semantic Representations; Christian Hardmeier -- Chapter 4. Creating Semantic Representations; Guillermo de Jorge Botana -- Chapter 5. Software for Creating and Analyzing Semantic Representations; Christian Hardmeier -- Chapter 6. Semantic Scales and Tests; Farhan Sawar, Danilo Garcia and Sverker Sikstrom -- Chapter 7. Predicting Numbers from Texts; Sverker Sikstrom -- Chapter 8. Replacing Likert-Scales with Semantic Questions -- Chapter 9. Clustering and Other Methods in Statistical Semantics; Rasmus Baath and Sverker Sikstrom -- Part II. Applications -- Chapter 10. Neuroscience: Atypical Associations to Abstract Words in Broca's Aphasia; Mikael Roll, Frida Martensson, Sverker Sikstrom, Pia Apt, Rasmus Arnling-Baath and Merle Horne -- Chapter 11. Cognitive Psychology; The Application of Statistical Semantics in Memory Research; Kristina Karlsson, Sverker Sikstrom and Johan Willander -- Chapter 12. Personality and Happiness; The Happy Life Story; Danilo Garcia and Sverker Sikstrom -- Chapter 13. Forensic Psychology: Studying Lying Behavior with Semantic Spaces; Farhan Sarwar and Sverker Sikstrom -- Chapter 14. Social Psychology: Evaluations of Social Groups with Statistical Semantics; Marie Gustafsson and Torun Lindholm -- Chapter 15. Linguistics: Application of Statistical Semantics to Predict Linguistic Maturity and Language Impairment in Children; Kristina Hansson, Birgitta Sahlen, Rasmus Baath, Simone Lohndorf and Sverker Sikstrom -- Chapter 16. The Future of Statistical Semantics: Concluding Remarks and Suggestion for Future Research.
520 $a This book discusses the application of various statistical methods to texts, rather than numbers, in various fields in behavioral science. It proposes an approach where quantitative methods are applied to data whereas previously such data were analyzed only by qualitative research methods. To emphasize the quantitative aspects of semantics, and the possibilities of conducting scientific interferences, the book introduces the concept of statistical semantics and presents the reader with a subset of techniques found in that domain. More specifically, the book focuses on methods that allow the investigation of semantic relationships between words, based on empirical corpus data. It shows the reader how to apply various statistical methods on texts, for example statistical tests to ascertain whether two sets of text are statistically different, ways to predict variables from text, as well as how to summarize and graphically illustrate texts. Thus, the book presents an accessible hands-on introduction to a selection of techniques, indispensable for cognitive psychologists, linguists, and social psychologists.
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