Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/21096
Title: | TVPulse: detecting TV highlights in Social Networks |
Author: | Vilaça, Afonso Antunes, M. Gomes, D. Aguiar, Rui L. |
Issue Date: | Sep-2015 |
Publisher: | Instituto de Telecomunicações |
Abstract: | Sharing live experiences in social networks is a growing trend. That includes posting comments and sentiments about TV programs. Automatic detection of messages with contents related to TV allows a numerous quantity of applications in the industry of entertainment information. This paper describes a system that is capable of detecting TV highlights in one of the most important social networks - Twitter. Combining Twitter’s messages and information from an Electronic Programming Guide (EPG) we built a model that matches tweets with TV programs with an accuracy over 80%. Our model required the construction of semantic profiles for the Portuguese language. These semantic profiles are used to identify the most representative tweets as highlights of a TV program. Far from finished, we intend to further develop our system to take advantage of external metadata in order to improve matching rates. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/21096 |
Publisher Version: | http://atnog.av.it.pt/content/tvpulse-detecting-tv-highlights-social-networks |
Appears in Collections: | DETI - Comunicações IT - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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bare_conf-2.pdf | 385.38 kB | Adobe PDF | View/Open |
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