Open-source user-research transcript analysis.
翻译准备中
数据Python · SwiftGitHub @cassiocassio自行安装运营者未确认
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正在加载完整 README。 以下为已保存的摘录。
Open-source user-research transcript analysis.
Point Bristlenose at a folder of interview recordings – videos, audio or transcripts from Zoom, Teams or Google Meet.
It transcribes, identifies moderators and participants, extracts good verbatim quotes, groups them by screen and theme. Filler words are stripped, editorial context is (sparingly) added [thus]. Emotion and strong language are preserved.
The (HTML) report aggregates all your interview quotes.
Click a timecode to watch the video of that quote.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Open-source user-research transcript analysis.
Point Bristlenose at a folder of interview recordings – videos, audio or transcripts from Zoom, Teams or Google Meet.
It transcribes, identifies moderators and participants, extracts good verbatim quotes, groups them by screen and theme. Filler words are stripped, editorial context is (sparingly) added [thus]. Emotion and strong language are preserved.
The (HTML) report aggregates all your interview quotes.
Click a timecode to watch the video of that quote.查看完整 README ↗