The present and future of post production business and technology

Semantic Text Startup for Textual Analysis

Semantic Text Startup for: Cliff notes, keywords, key points and important facts derived from raw text.

One of the technologies I’ve been following, because I think it’s relevant to my goals with Assisted Editing (to take the boring out of postproduction). One piece of the “boring” is deriving keywords and concepts from spoken word (transcribed, of course).

Technologies like this, and others developed for the Library and Archivist industries, are becoming very sophisticated.

In an Assisted Editing context, the extraction of keywords (particularly) from a “chunk” of transcribed spoken word (let’s say an interview for a documentary), removes the need for a human to enter the keywords.

Having keywords is valuable because you can search for all instances of the keyword (to find common themes), which is something prEdit really does well, whether you’re going to build the initial outline manually in a tool like prEdit or Final Cut Pro, or use an Assisted Editing tool to get to a rough first assemble.