Answers not analytics: Using knowledge models for video highlight extraction

Presents a new approach for NLP-based highlight identification and extraction, based on a supervised learning model that aides market researchers in sifting through their data.

Abstract

Data is being produced in larger quantities than ever before in human history. It is only natural to expect a rise in demand for technology that aids humans in sifting through and analysing this inexhaustible supply of information. This need exists in the market research industry, where large amounts of consumer research data is collected through video recordings. At present, the standard method for analysing video data is human labour. Market researchers manually review the vast majority of consumer research video in order to identify relevant portions: highlights. The industry state-of-the-art turnaround ratio is 2.2 - for every hour...

Not a subscriber?

Schedule your live demo with our team today

WARC helps you to plan, create and deliver more effective marketing

  • Prove your case and back-up your idea

  • Get expert guidance on strategic challenges

  • Tackle current and emerging marketing themes

We’re long-term subscribers to WARC and it’s a tool we use extensively. We use it to source case studies and best practice for the purposes of internal training, as well as for putting persuasive cases to clients. In compiling a recent case for long-term, sustained investment in brand, we were able to support key marketing principles with numerous case studies sourced from WARC. It helped bring what could have been a relatively dry deck to life with recognisable brand successes from across a broad number of categories. It’s incredibly efficient to have such a wealth of insight in one place.

Insights Team
Bray Leino

You’re in good company

We work with 80% of Forbes' most valuable brands* and 80% of the world's top top-of-the-class agencies.

* Top 10 brands