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Gabe Ignatow
An Introduction to Text Mining
Читать книгу An Introduction to Text Mining - Gabe Ignatow - Страница 1
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An Introduction to Text Mining
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Acknowledgments
Preface
Note to the Reader
About the Authors
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1 Text Mining and Text Analysis Learning Objectives
Introduction
Predicting the Stock Market With Twitter
Six Approaches to Text Analysis
Conversation Analysis
Analysis of Discourse Positions
Critical Discourse Analysis
Combining Critical Discourse Analysis and Corpus Linguistics
Content Analysis
Foucauldian Analysis
Analysis of Texts as Social Information
Challenges and Limitations of Using Online Data
Social Surveys
Ethnography
Historical Research Methods
Key Terms (see Glossary)
Review Questions
Discussion Questions
2 Acquiring Data Learning Objectives
Introduction
Online Data Sources
Advantages and Limitations of Online Digital Resources for Social Science Research
Examples of Social Science Research Using Digital Data
Key Term
Discussion Questions
3 Research Ethics Learning Objectives
Introduction
Respect for Persons, Beneficence, and Justice
Ethical Guidelines
Institutional Review Boards
Privacy
Informed Consent
Manipulation
Publishing Ethics
Scenario 1
Scenario 2
Scenario 3
Key Terms
Review Questions
Discussion Questions
4 The Philosophy and Logic of Text Mining Learning Objectives
Introduction
Ontological and Epistemological Positions
Correspondence Theory
Coherence Theory
Pragmatism
Constructionism
Critical Realism
Metatheory
Grand Theory and Philosophical Positions
Meso Theory
Models
Substantive Theory
Making Inferences
Inductive Logic
An Inductive Approach to Media Framing
Deductive Logic
Abductive Logic
Key Terms
Discussion Questions
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