Part I: Foundations \\ Chapter 1 Text Mining and Text Analysis \\ Learning Objectives \\ Introduction \\ Six Approaches to Text Analysis \\ Challenges and Limitations of Using Online Data \\ Conclusions \\ Key Terms \\ Highlights \\ Student Study Site \\ Review Questions \\ Discussion Questions \\ Developing a Research Proposal \\ Further Reading \\ Chapter 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 \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Questions \\ Chapter 3 Research Ethics \\ Learning Objectives \\ Introduction \\ Respect for Persons, Beneficence, and Justice \\ Ethical Guidelines \\ Institutional Review Boards \\ Privacy \\ Informed Consent \\ Manipulation \\ Publishing Ethics \\ Conclusions \\ Key Terms \\ Highlights \\ Student Study Site \\ Review Questions \\ Discussion Questions \\ Web Resources \\ Developing Your Research Proposal \\ Further Reading \\ Chapter 4 The Philosophy and Logic of Text Mining \\ Learning Objectives \\ Introduction \\ Ontological and Epistemological Positions \\ Metatheory \\ Making Inferences \\ Conclusions \\ Key Terms \\ Highlights \\ Student Study Site \\ Discussion Questions \\ Internet Resources \\ Developing Your Research Proposal \\ Further Reading \\ Part II: Research Design and Basic Tools \\ Chapter 5 Designing Your Research Project \\ Learning Objectives \\ Introduction \\ Critical Decisions \\ Idiographic and Nomothetic Research \\ Levels of Analysis \\ Qualitative, Quantitative, and Mixed-Methods Research \\ Choosing Data \\ Formatting Your Data \\ Conclusions \\ Key Terms \\ Highlights \\ Student Study Site \\ Review Questions \\ Discussion Questions \\ Developing Your Research Proposal \\ Further Reading \\ Chapter 6 Web Scraping and Crawling \\ Learning Objectives \\ Introduction \\ Web Statistics \\ Web Crawling \\ Web Scraping \\ Software for Web Crawling and Scraping \\ Part III: Text Mining Fundamentals \\ Chapter 7 Lexical Resources \\ Learning Objectives \\ Introduction \\ WordNet \\ WordNet Affect \\ Roget’s Thesaurus \\ Linguistic Inquiry and Word Count \\ General Inquirer \\ Wikipedia \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Chapter 8 Basic Text Processing \\ Learning Objectives \\ Introduction \\ Basic Text Processing \\ Language Models and Text Statistics \\ More Advanced Text Processing \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Chapter 9 Supervised Learning \\ Learning Objectives \\ Introduction \\ Feature Representation and Weighting \\ Supervised Learning Algorithms \\ Evaluation of Supervised Learning \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Part IV: Text Analysis Methods from the Humanities and Social Sciences \\ Chapter 10 Analyzing Narratives \\ Learning Objectives \\ Introduction \\ Approaches to Narrative Analysis \\ Planning a Narrative Analysis Research Project \\ Qualitative Narrative Analysis \\ Mixed Methods and Quantitative Narrative Analysis Studies \\ Conclusions \\ Key Terms \\ Highlights \\ Review Questions \\ Developing a Research Proposal \\ Further Reading \\ Chapter 11 Analyzing Themes \\ Learning Objectives \\ Introduction \\ How to Analyze Themes \\ Examples of Thematic Analysis \\ Conclusions \\ Key Terms \\ Highlights \\ Review Questions \\ Developing a Research Proposal \\ Further Reading \\ Chapter 12 Analyzing Metaphors \\ Learning Objectives \\ Introduction \\ Cognitive Metaphor Theory \\ Approaches to Metaphor Analysis \\ Qualitative, Quantitative, and Mixed Methods \\ Conclusions \\ Key Terms \\ Highlights \\ Review Questions \\ Developing a Research Proposal \\ Further Reading \\ Part V: Text Mining Methods from Computer Science \\ Chapter 13 Text Classification \\ Learning Objectives \\ Introduction \\ What Is Text Classification? \\ Applications of Text Classification \\ Approaches to Text Classification \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Chapter 14 Opinion Mining \\ Learning Objectives \\ Introduction \\ What Is Opinion Mining? \\ Resources for Opinion Mining \\ Approaches to Opinion Mining \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Chapter 15 Information Extraction \\ Learning Objectives \\ Introduction \\ Entity Extraction \\ Relation Extraction \\ Web Information Extraction \\ Template Filling \\ Conclusions \\ Key Terms \\ Highlights \\ Discussion Topics \\ Chapter 16 Analyzing Topics \\ Learning Objectives \\ Introduction \\ What Are Topic Models? \\ How to Use Topic Models \\ Examples of Topic Modeling \\ Conclusions \\ Key Terms \\ Highlights \\ Review Questions \\ Developing a Research Proposal \\ Internet Resources \\ Further Reading \\ Part VI: Writing and Reporting Your Research \\ Chapter 17 Writing and Reporting Your Research \\ Learning Objectives \\ Introduction: Academic Writing \\ Evidence and Theory \\ The Structure of Social Science Research Papers \\ Conclusions \\ Key Terms \\ Highlights \\ Student Study Site \\ Web Resources \\ Undergraduate Research Journals \\ Further Reading \\ Glossary \\ References \\ Appendix A Data Sources for Text Mining \\ Appendix B Text Preparation and Cleaning Software \\ Appendix C: General Text Analysis Software \\ Appendix D: Qualitative Data Analysis Software \\ Appendix E: Opinion Mining Software \\ Appendix F: Concordance and Keyword Frequency Software \\ Appendix G: Visualization Software \\ Appendix H: List of Websites \\ Appendix I: Statistical Tools
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