Big Meaning: Qualitative Analysis on Large Bodies of Data Using AI
Fuente:
arXiv
Saved in:
| Main Authors: | Flanders, Samuel, Nungsari, Melati, Loong, Mark Cheong Wing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025)
by: Flanders, Samuel, et al.
Published: (2025)
Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection
by: Tassava, Matthew, et al.
Published: (2024)
by: Tassava, Matthew, et al.
Published: (2024)
Scaling Personality Control in LLMs with Big Five Scaler Prompts
by: Cho, Gunhee, et al.
Published: (2025)
by: Cho, Gunhee, et al.
Published: (2025)
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
by: Spitale, Micol, et al.
Published: (2024)
by: Spitale, Micol, et al.
Published: (2024)
NREN: The Big Issues Aren't Technical.
by: Flanders, Bruce
Published: (1991)
by: Flanders, Bruce
Published: (1991)
A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool
by: Flanders, Adam E., et al.
Published: (2025)
by: Flanders, Adam E., et al.
Published: (2025)
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
by: Exler, David, et al.
Published: (2025)
by: Exler, David, et al.
Published: (2025)
Large Language Models for Large-Scale, Rigorous Qualitative Analysis in Applied Health Services Research
by: Ronaghi, Sasha, et al.
Published: (2026)
by: Ronaghi, Sasha, et al.
Published: (2026)
What's In My Big Data?
by: Elazar, Yanai, et al.
Published: (2023)
by: Elazar, Yanai, et al.
Published: (2023)
Relationship Detection on Tabular Data Using Statistical Analysis and Large Language Models
by: Koletsis, Panagiotis, et al.
Published: (2025)
by: Koletsis, Panagiotis, et al.
Published: (2025)
Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance
by: Yi, Seungjun, et al.
Published: (2026)
by: Yi, Seungjun, et al.
Published: (2026)
Bridging Human Interpretation and Machine Representation: A Landscape of Qualitative Data Analysis in the LLM Era
by: Pi, Xinyu, et al.
Published: (2026)
by: Pi, Xinyu, et al.
Published: (2026)
Toward Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation
by: Gu, Megan, et al.
Published: (2025)
by: Gu, Megan, et al.
Published: (2025)
Predicting the Big Five Personality Traits in Chinese Counselling Dialogues Using Large Language Models
by: Yan, Yang, et al.
Published: (2024)
by: Yan, Yang, et al.
Published: (2024)
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
by: Amirova, Aliya, et al.
Published: (2023)
by: Amirova, Aliya, et al.
Published: (2023)
Wisdom of the AI Crowd (AI-CROWD) for Ground Truth Approximation in Content Analysis: A Research Protocol & Validation Using Eleven Large Language Models
by: de-Marcos, Luis, et al.
Published: (2026)
by: de-Marcos, Luis, et al.
Published: (2026)
Black Big Boxes: Tracing Adjective Order Preferences in Large Language Models
by: Jumelet, Jaap, et al.
Published: (2024)
by: Jumelet, Jaap, et al.
Published: (2024)
Instruction-tuning Aligns LLMs to the Human Brain
by: Aw, Khai Loong, et al.
Published: (2023)
by: Aw, Khai Loong, et al.
Published: (2023)
Small Languages, Big Models: A Study of Continual Training on Languages of Norway
by: Samuel, David, et al.
Published: (2024)
by: Samuel, David, et al.
Published: (2024)
Propaganda AI: An Analysis of Semantic Divergence in Large Language Models
by: Min, Nay Myat, et al.
Published: (2025)
by: Min, Nay Myat, et al.
Published: (2025)
Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels
by: Ohman, Emily, et al.
Published: (2024)
by: Ohman, Emily, et al.
Published: (2024)
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI
by: Liu, Tian Yu, et al.
Published: (2024)
by: Liu, Tian Yu, et al.
Published: (2024)
The AI Data Scientist
by: Akimov, Farkhad, et al.
Published: (2025)
by: Akimov, Farkhad, et al.
Published: (2025)
Text Annotation via Inductive Coding: Comparing Human Experts to LLMs in Qualitative Data Analysis
by: Parfenova, Angelina, et al.
Published: (2025)
by: Parfenova, Angelina, et al.
Published: (2025)
Evaluating Generative AI-Enhanced Content: A Conceptual Framework Using Qualitative, Quantitative, and Mixed-Methods Approaches
by: Sarraf, Saman
Published: (2024)
by: Sarraf, Saman
Published: (2024)
GAMedX: Generative AI-based Medical Entity Data Extractor Using Large Language Models
by: Ghali, Mohammed-Khalil, et al.
Published: (2024)
by: Ghali, Mohammed-Khalil, et al.
Published: (2024)
Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models
by: Yuxuan, Cao, et al.
Published: (2025)
by: Yuxuan, Cao, et al.
Published: (2025)
Mining Reasons For And Against Vaccination From Unstructured Data Using Nichesourcing and AI Data Augmentation
by: Furman, Damián Ariel, et al.
Published: (2024)
by: Furman, Damián Ariel, et al.
Published: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
by: Feng, Pohsun, et al.
Published: (2024)
by: Feng, Pohsun, et al.
Published: (2024)
Leveraging Big Data Frameworks for Spam Detection in Amazon Reviews
by: Khatun, Mst Eshita, et al.
Published: (2025)
by: Khatun, Mst Eshita, et al.
Published: (2025)
Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers
by: Mostafa, Abeer, et al.
Published: (2026)
by: Mostafa, Abeer, et al.
Published: (2026)
Explainable AI for Sentiment Analysis of Human Metapneumovirus (HMPV) Using XLNet
by: Apu, Md. Shahriar Hossain, et al.
Published: (2025)
by: Apu, Md. Shahriar Hossain, et al.
Published: (2025)
Mic Drop or Data Flop? Evaluating the Fitness for Purpose of AI Voice Interviewers for Data Collection within Quantitative & Qualitative Research Contexts
by: Tirumala, Shreyas, et al.
Published: (2025)
by: Tirumala, Shreyas, et al.
Published: (2025)
Towards Equitable AI: Detecting Bias in Using Large Language Models for Marketing
by: Yilmaz, Berk, et al.
Published: (2025)
by: Yilmaz, Berk, et al.
Published: (2025)
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)
by: Sun, Cong, et al.
Published: (2025)
Human vs. Machine Deception: Distinguishing AI-Generated and Human-Written Fake News Using Ensemble Learning
by: Jaeger, Samuel, et al.
Published: (2026)
by: Jaeger, Samuel, et al.
Published: (2026)
DataSTORM: Deep Research on Large-Scale Databases using Exploratory Data Analysis and Data Storytelling
by: Liu, Shicheng, et al.
Published: (2026)
by: Liu, Shicheng, et al.
Published: (2026)
Making Metadata More FAIR Using Large Language Models
by: Sundaram, Sowmya S., et al.
Published: (2023)
by: Sundaram, Sowmya S., et al.
Published: (2023)
Augmenting Bias Detection in LLMs Using Topological Data Analysis
by: Varadarajan, Keshav, et al.
Published: (2025)
by: Varadarajan, Keshav, et al.
Published: (2025)
Data-Centric AI in the Age of Large Language Models
by: Xu, Xinyi, et al.
Published: (2024)
by: Xu, Xinyi, et al.
Published: (2024)
Similar Items
-
AI Coding with Few-Shot Prompting for Thematic Analysis
by: Flanders, Samuel, et al.
Published: (2025) -
Development of an AI Anti-Bullying System Using Large Language Model Key Topic Detection
by: Tassava, Matthew, et al.
Published: (2024) -
Scaling Personality Control in LLMs with Big Five Scaler Prompts
by: Cho, Gunhee, et al.
Published: (2025) -
Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction
by: Spitale, Micol, et al.
Published: (2024) -
NREN: The Big Issues Aren't Technical.
by: Flanders, Bruce
Published: (1991)