The social web has become a major repository of social and behavioral data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for harvesting, organizing and analyzing such data and provide knowledge and insights into the structure and behavior or people on-line. Some of these techniques include social web mining, conceptual and social network analysis and modeling, tag clouds, topic maps, folksonomies, complex network visualizations, modeling of processes on networks, agent based models of social network emergence, speech recognition, computer vision, natural language processing, opinion mining and sentiment analysis, recommender systems, user profiling and semantic wikis. All of these techniques are briefly introduced, example studies are given and ideas as well as possible directions in the field of political attitudes and mentalities are given. In the end challenges for future studies are discussed.
European Quarterly of Political Attitudes and Mentalities EQPAM
номер
11
страницы
40--62
том
4
file
:C$\backslash$:/Users/Bogdan/Documents/Mendeley Desktop/Schatten, Seva, Okreša Đurić - 2015 - An Introduction to Social Semantic Web Mining & Big Data Analytics for Political Attitudes and Men.pdf:pdf
%0 Journal Article
%1 Schatten2015a
%A Schatten, Markus
%A Seva, Jurica
%A Okreša Đurić, Bogdan
%D 2015
%J European Quarterly of Political Attitudes and Mentalities EQPAM
%K ReDeemVal agent_based_modeling big_data_analytics myown natural_language_processing network_theory network_visualization sentiment_analysis social_semantic_web web_mining
%N 11
%P 40--62
%T An Introduction to Social Semantic Web Mining & Big Data Analytics for Political Attitudes and Mentalities Research
%U https://sites.google.com/a/fspub.unibuc.ro/european-quarterly-of-political-attitudes-and-mentalities/Home/eqpam-vol4-no1-january2015---markus-schatten-jurica-seva-bogdan-okresa-dhuric
%V 4
%X The social web has become a major repository of social and behavioral data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for harvesting, organizing and analyzing such data and provide knowledge and insights into the structure and behavior or people on-line. Some of these techniques include social web mining, conceptual and social network analysis and modeling, tag clouds, topic maps, folksonomies, complex network visualizations, modeling of processes on networks, agent based models of social network emergence, speech recognition, computer vision, natural language processing, opinion mining and sentiment analysis, recommender systems, user profiling and semantic wikis. All of these techniques are briefly introduced, example studies are given and ideas as well as possible directions in the field of political attitudes and mentalities are given. In the end challenges for future studies are discussed.
@article{Schatten2015a,
abstract = {The social web has become a major repository of social and behavioral data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for harvesting, organizing and analyzing such data and provide knowledge and insights into the structure and behavior or people on-line. Some of these techniques include social web mining, conceptual and social network analysis and modeling, tag clouds, topic maps, folksonomies, complex network visualizations, modeling of processes on networks, agent based models of social network emergence, speech recognition, computer vision, natural language processing, opinion mining and sentiment analysis, recommender systems, user profiling and semantic wikis. All of these techniques are briefly introduced, example studies are given and ideas as well as possible directions in the field of political attitudes and mentalities are given. In the end challenges for future studies are discussed.},
added-at = {2017-03-12T23:30:46.000+0100},
author = {Schatten, Markus and {\v{S}}eva, Jurica and {Okreša Đurić}, Bogdan},
biburl = {https://www.bibsonomy.org/bibtex/2309f7f39b0e0395e40490574976534c3/bogokdu},
file = {:C$\backslash$:/Users/Bogdan/Documents/Mendeley Desktop/Schatten, {\v{S}}eva, Okreša Đurić - 2015 - An Introduction to Social Semantic Web Mining {\&} Big Data Analytics for Political Attitudes and Men.pdf:pdf},
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intrahash = {309f7f39b0e0395e40490574976534c3},
journal = {European Quarterly of Political Attitudes and Mentalities EQPAM},
keywords = {ReDeemVal agent_based_modeling big_data_analytics myown natural_language_processing network_theory network_visualization sentiment_analysis social_semantic_web web_mining},
mendeley-tags = {ReDeemVal},
number = 11,
pages = {40--62},
timestamp = {2017-03-12T23:32:37.000+0100},
title = {{An Introduction to Social Semantic Web Mining {\&} Big Data Analytics for Political Attitudes and Mentalities Research}},
url = {https://sites.google.com/a/fspub.unibuc.ro/european-quarterly-of-political-attitudes-and-mentalities/Home/eqpam-vol4-no1-january2015---markus-schatten-jurica-seva-bogdan-okresa-dhuric},
volume = 4,
year = 2015
}