Semantic Topic Analysis.

Within minutes, the YuJa Cloud categorizes the video content and automatically generates topic tags and topic-headers.

Schedule Demo

Automatically Categorize Presentation Topics and Create Metatags.

YuJa’s Semantic Topic Analysis provides an automated, topical overview of subjects covered in a capture or uploaded video. The technology is able to quickly categorize the information in the video and creates a visual mindmap for the viewer.

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How Semantic Topic Analysis Works.

Semantic Topic Analysis starts with YuJa’s high-quality auto-captioning technology. Auto-captioning produces a text transcript of the lecture capture content. Next, semantic topic analysis takes over:

Semantic Topic Analysis automatically reviews auto-captions to create an additional searchable topic meta-layer.


Lecture capture content is organized into topics in the lecture and super-topics that the topics fit into or under.


Super-topics become searchable, identifiable tags within the Media Management.

The benefits of semantic topic analysis

Searchable Campus and Course Libraries

Super-topics become searchable tags, making it simple for students to find relevant content to further their academic goals.

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Review Content Before Watching a Lecture

Topics and super-topics enable students or instructors to quickly review lecture content, without watching the lecture.

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Make Connections with Different Topics

Semantic Topic Analysis provides students with increased ability to make connections between different facts and subjects.

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One-Look
Summary

The topics and super-topics provide a quick, one-look summary of lecture capture or video content.

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