1. Home
  2. Material Detail: Automatic Dominance Detection In Meetings Using Support Vector Machines

Material Detail

Automatic Dominance Detection In Meetings Using Support Vector Machines

Automatic Dominance Detection In Meetings Using Support Vector Machines

This video was recorded at 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, Edinburgh 2005. We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic features. We discuss the corpus we have used, the way we had people judge dominance and the details of the classifier and features that were used.... Show More
Keywords:
videolectures, ocwc, oec
Disciplines:
Go to Material 
Bookmark / Add to Course ePortfolio
Create a Learning Exercise
Add Accessibility Information
Rate
Add a Comment

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

Browse...

Disciplines with similar materials as Automatic Dominance Detection In Meetings Using Support Vector Machines
Other materials like Automatic Dominance Detection In Meetings Using Support Vector Machines

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.