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Authors: Athena Vakali ; Despoina Chatzakou ; Vassiliki Koutsonikola and Georgios Andreadis

Affiliation: Aristotle University, Greece

ISBN: 978-989-8565-67-9

Keyword(s): Sentiment Analysis, Social Data Processing and Social Networking, Microblogging Data Analysis, Mobile Applications.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Collaboration and e-Services ; Data Engineering ; Data Management and Quality ; Data Mining ; Data Modeling and Visualization ; Databases and Data Security ; Databases and Information Systems Integration ; Datamining ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Integration ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Mobile Data Management ; Ontologies and the Semantic Web ; Semantics and Social Media ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems ; WWW and Databases

Abstract: Social networks drive todays opinion and content diffusion. Humans interact in social media on the basis of their emotional states and it is important to capture people emotional scales for a particular theme. Such interactions are facilitated and become evident in smart environments characterized by mobile devices and new smart city contexts. This work proposes a sentiment analysis approach which extends positive and negative polarity in higher and wider emotional scales to offer new smart services over mobile devices. A particular methodology and a generic framework is outlined along with indicative mobile applications which employs microblogging data analysis for chosen topics, locations and time. These applications capture crowd pulse as expressed in microblogging platforms and such an analysis is beneficial for various communities such as policy makers, authorities and the public.

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Paper citation in several formats:
Vakali, A.; Chatzakou, D.; Koutsonikola, V. and Andreadis, G. (2013). Social Data Sentiment Analysis in Smart Environments - Extending Dual Polarities for Crowd Pulse Capturing.In Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA, ISBN 978-989-8565-67-9, pages 175-182. DOI: 10.5220/0004478401750182

@conference{data13,
author={Athena Vakali. and Despoina Chatzakou. and Vassiliki Koutsonikola. and Georgios Andreadis.},
title={Social Data Sentiment Analysis in Smart Environments - Extending Dual Polarities for Crowd Pulse Capturing},
booktitle={Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,},
year={2013},
pages={175-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004478401750182},
isbn={978-989-8565-67-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Technologies and Applications - Volume 1: DATA,
TI - Social Data Sentiment Analysis in Smart Environments - Extending Dual Polarities for Crowd Pulse Capturing
SN - 978-989-8565-67-9
AU - Vakali, A.
AU - Chatzakou, D.
AU - Koutsonikola, V.
AU - Andreadis, G.
PY - 2013
SP - 175
EP - 182
DO - 10.5220/0004478401750182

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