Mulholland, Eleanor and Kevitt, Paul Mc and Lunney, Tom and Farren, John and Wilson, Judy (2015) 360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet. In: 7th International Conference on Intelligent Technologies for Interactive Entertainment.
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Abstract
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
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:29 |
| Last Modified: | 17 Apr 2026 18:45 |
| URI: | http://eprints.eai.eu/id/eprint/13063 |
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