bristlenose
Open-source user-research transcript analysis.
翻譯準備中
資料Python · SwiftGitHub @cassiocassio自行安裝營運者未確認
試用過了嗎？ 點一下就好，不需要登入。
資料 分類的熱門專案
依最近已完成的 8 小時觀測回合間的 GitHub 星號增量排序
Open-source user-research transcript analysis.
翻譯準備中
資料Python · SwiftGitHub @cassiocassio自行安裝營運者未確認
試用過了嗎？ 點一下就好，不需要登入。
依最近已完成的 8 小時觀測回合間的 GitHub 星號增量排序
正在載入完整 README。 以下為已儲存的摘錄。
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.檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
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.檢視完整 README ↗