/ Qualitative Research

Samelogic Dialogue: Transcribing Qualitative Video Research Interviews Contextually

A significant amount of qualitative studies collect video data, for example, recordings of interviews, focus groups or consultations. For deeper analysis, these are usually transcribed. This is usually a time-consuming task that requires 3 hours of work per hour of video and isn't as straightforward as it seems.

What Forms of Data are Required for Analysis?

To make sense of what is said, different kinds of data present within the video should be analyzed and recorded.

Transcription of Audio to Text
Near accurate transcription of the conversation is key. Transcribed sentences should be mapped to the time scale of the video so those reviewing and analyzing content can easily go back to that exact moment.

Vocal Emotional Data
The words we say have emotional weight. Knowing that is said and how it's said will add context to transcribed statements and will enable greater efficiency.

Keyword Extraction
To get a better idea of what subjects are mentioning, how frequently it's mentioned and the tone in which it's said can allow researchers to quantify qualitative responses.

Facial Emotional Data
We are deeply emotional beings. Our emotional frame of mind is portrayed facially when responding to a question when asked. There are 7 basic emotions: Happiness, Sadness, Anger, Contempt, Disgust, Fear, and Surprise.

How Can I Do This?

Samelogic Dialogue helps qualitative researchers become efficient at transcribing video recordings and provide detailed reports when videos are analyzed so that researchers can have logs of all their interviews. Samelogic Dialogue reports also provides metrics and graphs of all your interviews.

Sign up today at https://www.samelogic.com to get started!

Dwayne Samuels

Dwayne Samuels

Cofounder & CEO @ Samelogic. I love videos. Even more, I love using ML to understand videos.

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