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Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
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Table of Contents
Preface
Introduction
Chapter
1. Background
1. Historical Backdrop of Korean Politics and Political Talk
2. Theoretical Foundations
2.1 Interactional Linguistics and Conversation Analysis
2.2. Previous CA Research: Language Dynamics in Institutional Settings
2.3. Previous Research on Korean Political Talk
2.4 Interrogative Structures in Korean Language
Part
1. Setting the Stage
Chapter
2. The Power of Big Data Analytics: Collection, Understanding, and Analysis
1. The Benefits of Big Data Analytics
2. The Data
3. Counting Questions and Answers: Criteria and Analysis
4. A Hybrid Approach
5. Analytical Procedure
Chapter
3. Understanding Questions and Answers
1. Questions
1.1 Types of Questions and Their Social Actions
2. Answers
2.1 Response Design: Preferred and Dispreferred Responses
2.2 Repair
Part
2. Findings
Chapter
4. Revelations from Big Data Analytics: Decoding Patterns and Insights
1. Decoding Political Discourse: A Text Mining Approach
1.1 The significance of Parts of Speech (POS)
1.2 The Prevalence of Verbs, Nouns, Adjectives and Adverbs
2. Semantic Network Analysis
3. Sentiment Analysis
4. Exploring Questions: Grammatical Items for Forming Questions
4.1 Overt Interrogative Sentence Endings
4.2 Q-Words
4.3 Declarative Sentence Endings
5. Types of Questions and Their Frequency of Distribution
Chapter
5. Questions and Their Responses
1. Introduction
2. Major Questions and Their Answers
2.1 Type A: Positive Polar Questions
2.2 The Most Frequent Polar Questions -c(i)yo
2.3 Type B:Wh-Questions
2.4. Type C: Negative Questions
2.5 Conclusion
3. Minor Questions and Their Answers
3.1 Type D: Rhetorical Questions
3.2 Type E: Declarative Questions
3.3 Type F: Alternative Questions
3.4 Conclusion
Chapter
6. Conclusion
1. Findings
2. Limitations and Further Studies