Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence

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Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence

González Canché, Manuel

ウェブストア価格 ¥34,534（本体¥31,395）
Morgan Kaufmann Publishers In（2026/06発売）
外貨定価 US$ 150.00
ポイント 313pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 250 p.
言語 ENG
商品コード 9780443219610
DDC分類 001.42028557

Full Description

Data Science, Interactive Visualization, and Generative AI Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools—just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Part I. Democratizing Data Science for Textual, Relational, and Multimodal Inquiry
1. Democratizing Interpretive Data Science for Scholarly Inquiry: Epistemic Foundation
Part II. Mapping Meaning Through Networks: Relational Meaning and Networked Time
2. Network Analysis of Qualitative Data (NAQD)
3. Graphical Retrieval and Analysis of Temporal Information Systems (GRATIS)
4. Visual Evolution, Replay, and Integration of Temporal Analytic Systems (VERITAS)
Part III. Topic Discovery and Language Intelligence Frameworks
5. Latent Code Identification (LACOID)
6. Machine Driven Classification of Open-Ended Responses (MDCOR)
Part IV. Integrative Extensions for Textual, Relational, Spatial, and Affective Analysis
7. Sentiment and Emotion Network Analysis (SENA)
8. GeoStoryTelling
Part V. Interpretation, Synthesis, and Scholarly Brainstorming with Local Generative AI
9. Intelligent Systems for Academic Research Integration (ISARI): A Local and Fully Offline Brainstorming Partner for Ethical Scholarly Inquiry
10. Closing Thoughts and Moving Forward