Model Matters

Model Matters Getting the best results when exploring AI Artificial Intelligence is a revolutionary breakthrough. It can help researchers understand qualitative data in new, interesting, powerful ways. Occasionally, as I develop and refine new features for Transana, I...

Understanding AI – A question of accuracy

AI results based on Large Language Modelsare probabilistic, not deterministic. If you want to use AI to explore your qualitative data, it's very important to understand exactly what this means.Introduction Large Language Models are not intelligent in any recognizable...

What can AI do? What can’t it do?

I received the following question as part of a recent support inquiry:Do we need to manually create collections and keywords ourselves, or can they be suggested via an embedded AI tool?Here is my reply:Yes, you need to create Collections and Keywords yourself. And...

From Summaries to Time-Coded Transcripts: Unlocking Interactive Analysis

Introduction When we ask ChatGPT to summarize a transcript, we get a useful overview of the content — a snapshot of key ideas, but without attention to how those ideas unfold over time. In qualitative data analysis, especially when working with video, time matters....

Prompting Analysis: Comparing AI and Human Thematic Coding in Transana

Introduction When you work with transcripts, interviews, or debates, the amount of text can feel overwhelming. Thematic analysis is the tool that helps researchers make sense of it all. It finds patterns in what people are saying so we can see the big picture. It...

Faster Whisper in Transana 5.30: Accuracy and Processing Speed (3 of 3)

Introduction In the two previous blog posts, we looked at the accuracy of transcripts of four English language media files using the eleven available Faster Whisper transcription models. Two of the four media files featured excellent audio quality and two distinct...
Important Issues for Automated Transcription

Important Issues for Automated Transcription

Not all automated transcription options are created equal.

There are several important issues to consider when choosing an approach to automated transcription. These include, in rough order of importance, data security issues, language(s) spoken in the data, transcription quality, processing speed, and cost.

Automated Transcription – Comparing Models

Automated Transcription – Comparing Models

Introduction As the author of transcription and analysis software, I've been evaluating tools for automating the transcription of video data for a long time.  For two decades, it took me longer to format and correct automated transcripts so I could analyze them than...

Now Available : Automated Transcription

Now Available : Automated Transcription

Adding Automated Transcription to Transana has been a goal of mine for two decades. This post discusses the capabilities and limitations of current speech-to-text technology as it applies to Transana.

Syncing Media Files Automatically

Syncing Media Files Automatically

What do I recommend for the Video Sync Server?  Unfortunately, the answer is that it depends on several factors that may be different in Turkey than they are where I live.  Different universities and organizations have different rules.  The “best” answer is different in different places and for different projects.

Writing Tools in Transana

Writing Tools in Transana

There are two important ways I use Transana Professional’s writing tools when I am doing qualitative analysis.  Creating Progress Logs.  These are useful in tracking what I’ve done and where I’m headed.  In Transana Multiuser they are also great for asynchronous...

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