Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence - González Canché, Manuel

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Résumé :
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...

Biographie:
judgment and to participants&rsquo...

Sommaire:
Too many qualitative and mixed-methods researchers are currently being asked to make an impossible choice: either remain outside the world of advanced data science and artificial intelligence, or enter it by learning programming, relying on expensive proprietary platforms, and uploading sensitive data to external servers. This book begins from a different premise: researchers should not have to choose between rigor, accessibility, privacy, and interpretive depth. Data Science, Interactive Visualizations, and Generative AI Tools for the Analysis of Qualitative, Mixed-Methods, and Multimodal Evidence presents an integrated methodological ecosystem for ethical and equity-driven data science in qualitative and mixed-methods research. It is designed for scholars working with textual, relational, temporal, affective, spatial, visual, and multimodal evidence who want access to rigorous data science and AI-supported analytic tools without needing to master programming, pay recurring fees, or surrender control of sensitive materials.

The book introduces a fully local, no-code ecosystem of software tools for analyzing complex evidence across multiple layers of inquiry-from language and structure to time, emotion, interaction, and context. Special attention is given to ISARI (Intelligent Systems for Academic Research Integration), a fully offline, open-source, multimodal brainstorming partner designed to support scholarly memoing, comparison, synthesis, and evidence-grounded writing. ISARI is presented not as a substitute for interpretation, but as part of a broader local analytic environment in which computational outputs remain accountable to researchers&rsquo...