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


Part1. 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


Part2. 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