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Statistical Semantics

Overview of attention for book
Cover of 'Statistical Semantics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Statistical Semantics
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    Chapter 2 Creating Semantic Representations
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    Chapter 3 Software for Creating and Analyzing Semantic Representations
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    Chapter 4 Semantic Similarity Scales: Using Semantic Similarity Scales to Measure Depression and Worry
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    Chapter 5 Prediction and Semantic Trained Scales: Examining the Relationship Between Semantic Responses to Depression and Worry and the Corresponding Rating Scales
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    Chapter 6 SemanticExcel.com: An Online Software for Statistical Analyses of Text Data Based on Natural Language Processing
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    Chapter 7 Neuroscience: Mapping the Semantic Representation of the Brain
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    Chapter 8 A Ternary Model of Personality: Temperament, Character, and Identity
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    Chapter 9 Dark Identity: Distinction Between Malevolent Character Traits Through Self-Descriptive Language
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    Chapter 10 The (Mis)measurement of Happiness: Words We Associate to Happiness (Semantic Memory) and Narratives of What Makes Us Happy (Episodic Memory)
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    Chapter 11 Space: The Importance of Language as an Index of Psychosocial States in Future Space Missions
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    Chapter 12 Social Psychology: Evaluations of Social Groups with Statistical Semantics
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    Chapter 13 Implicit Attitudes: Quantitative Semantic Misattribution Procedure
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    Chapter 14 Linguistic: Application of LSA to Predict Linguistic Maturity and Language Disorder in Children
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    Chapter 15 Political Science: Moving from Numbers to Words in the Case of Brexit
Attention for Chapter 11: Space: The Importance of Language as an Index of Psychosocial States in Future Space Missions
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Citations

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Chapter title
Space: The Importance of Language as an Index of Psychosocial States in Future Space Missions
Chapter number 11
Book title
Statistical Semantics
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-37250-7_11
Book ISBNs
978-3-03-037249-1, 978-3-03-037250-7
Authors

Sonja M. Schmer-Galunder, Schmer-Galunder, Sonja M.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Student > Bachelor 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Social Sciences 1 17%
Unknown 4 67%

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