360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet
Eleanor Mulholland, Paul Mc Kevitt, Tom Lunney, John Farren, J M G Wilson · 2015
Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification t