Some electronic devices for supporting research interview as at 2025 (information from perplexity.ai)
My question 1: "Introduce some useful electronic (including AI-based) devices available in the marketplace now for producing research interview transcripts as well as supporting data analysis on interview transcripts."
The reply: "There are several useful electronic and AI-based devices and tools available in 2025 for producing research interview transcripts and supporting data analysis on those transcripts. Key options include:
Insight7: An AI-powered platform that automates analysis of interviews (video, audio, text), extracting insights, sentiment, and trends with features like NLP-based theme extraction, sentiment analysis, and conversation clustering. It integrates with platforms like Google Meet and Teams, and helps researchers gain actionable insights and improve decision-making.
OpenAI GPT Models: These AI models excel at summarizing transcripts, extracting key information, performing sentiment analysis, and answering questions. They can be fine-tuned for specific research domains and scale efficiently to handle large interview datasets, aiding qualitative data analysis.
Looppanel: An AI-powered transcript analysis tool known for high transcription accuracy (90%+), multilingual support, auto-generated notes organized by question, and AI tagging. It converts unstructured conversations into searchable insights, saving time on qualitative research analysis.
Sonix: This tool delivers industry-leading transcription accuracy (95%+), supports 49+ languages, and is designed for academic research needs—handling technical terminology, speaker identification, and time-stamped transcripts to facilitate citation.
Other notable mentions include MonkeyLearn, RapidMiner, Luminoso Analytics, and Usercall, which provide AI-driven transcript analysis functions like topic modeling, sentiment analysis, and customizable coding for qualitative data.
These tools combine automatic transcription with advanced data analytics powered by natural language processing, enabling efficient, accurate production of transcripts and rich qualitative data insights for research interviews."
My question 2: "Suggest some useful electronic devices (e.g. AI-based) in 2025 for conducting qualitative data analysis on research interview and focus group transcripts."
The reply: "Here are some useful electronic devices and AI-based tools in 2025 for conducting qualitative data analysis on research interview and focus group transcripts:
Insight7: An end-to-end AI-powered platform for conversation analysis, transcription, sentiment analysis, and thematic clustering, ideal for large volumes of interview or call data. It automates coding and identifies patterns and risks efficiently.
Delve: A user-friendly AI-assisted coding tool focused on quick theme suggestions and real-time collaboration, suitable for small teams analyzing interviews or open-ended text.
MAXQDA: A comprehensive qualitative and mixed methods software with AI features such as automatic transcription, multilingual audio/video support, automatic keyword coding, and interactive data visualization like word trees.
NVivo 15.2 and ATLAS.ti 25: Major qualitative data analysis platforms embedded with GenAI features for summarization, code suggestion, intentional AI coding, and conversational AI inquiry to enhance thematic exploration and reflexivity.
Emerging usage of general AI models like ChatGPT and GPT-4: Researchers use these generative AI tools in a dialogic, query-based manner for uncovering overlooked codes, auto-coding, and interpretive deepening with critical human vetting.
These AI tools transform qualitative research by automating transcription, coding, clustering, sentiment analysis, and visualization, enhancing efficiency and accuracy while preserving human insight in interpretation and refinement."
References
Best transcription software 2025 (video)
Qualitative data analysis using AI tools (video).
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