Statistical Semantics: Methods and Applications

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 Sikstr闣.- Chapter 7. Predicting Numbers from Texts; Sverker Sikstr闣.- Chapter 8. Replacing Likert-Scales with Semantic Questions.- Chapter 9. Clustering and Other Methods in Statistical Semantics; Rasmus B槫th and Sverker Sikstr闣.- Part II. Applications.- Chapter 10. Neuroscience: Atypical Associations to Abstract Words in Broca's Aphasia; Mikael Roll, Frida M緳tensson, Sverker Sikstr闣, Pia Apt, Rasmus Arnling-B槫th and Merle Horne.- Chapter 11. Cognitive Psychology; The Application of Statistical Semantics in Memory Research; Kristina Karlsson, Sverker Sikstr闣 and Johan Willander.- Chapter 12. Personality and Happiness; The Happy Life Story; Danilo Garcia and Sverker Sikstr闣.- Chapter 13. Forensic Psychology: Studying Lying Behavior with Semantic Spaces; Farhan Sarwar and Sverker Sikstr闣.- 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 B槫th, Simone L鐬ndorf and Sverker Sikstr闣.- Chapter 16. The Future of Statistical Semantics: Concluding Remarks and Suggestion for Future Research.