POPmine: Tracking Political Opinion on the Web
Abstract
The automatic content analysis of mass media in the social sciences has become necessary and possible with the raise of social media and computational power. One particularly promising avenue of research concerns the use of opinion mining. We design and implement the POPmine system which is able to collect texts from web-based conventional media (news items in mainstream media sites) and social media (blogs and Twitter) and to process those texts, recognizing topics and political actors, analyzing relevant linguistic units, and generating indicators of both frequency of mention and polarity (positivity/negativity) of mentions to political actors across sources, types of sources, and across time.
Keywords
Cite
@article{arxiv.1511.09101,
title = {POPmine: Tracking Political Opinion on the Web},
author = {Pedro Saleiro and Sílvio Amir and Mário J. Silva and Carlos Soares},
journal= {arXiv preprint arXiv:1511.09101},
year = {2015}
}
Comments
2015 IEEE International Conference on Computer and Information Technology, Ubiquitous Computing and Communications