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Authors: Afef Walha 1 ; Faiza Ghozzi 2 and Faiez Gargouri 2

Affiliations: 1 Multimedia and InfoRmation Systems and Advanced Computing Laboratory, Tunisia ; 2 Multimedia, InfoRmation Systems and Advanced Computing Laboratory and Sfax University, Tunisia

Keyword(s): ETL, Sentiment Analysis, Social Network.

Related Ontology Subjects/Areas/Topics: Databases and Datawarehouses ; e-Business and e-Commerce ; Internet Technology ; Metadata and Metamodeling ; Social Media Analytics ; Social Networks and Organizational Culture ; Society, e-Business and e-Government ; System Integration ; User Modeling ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Programming

Abstract: Considered as a rich source of information, social networking sites have been created lot of buzz because people share and discuss their opinions freely. Sentiment analysis is used for knowing voice or response of crowd for products, services, organizations, individuals, events, etc. Due to their importance, people opinions are analyzed in several domains including information retrieval, semantic web, text mining. These researches define new classification techniques to assign positive or negative opinion. Decisional systems like WeBhouse, known by their data-consuming must be enriched by this kind of pertinent opinions to give better help to decision makers. Nevertheless, cleaning and transformation processes recognized by several approaches as a key of WeBhouse development, don’t deal with sentiment analysis. To fulfill this gap, we propose a new analysis algorithm which determines user’s sentiment score of a post shared on the social network Facebook. This algorithm analyzes user’ s opinion depending on opinion terms and emoticons included in his comments. This algorithm is integrated in transformation process of ETL approach. (More)

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Paper citation in several formats:
Walha, A.; Ghozzi, F. and Gargouri, F. (2015). ETL Transformation Algorithm for Facebook Opinion Data. In Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-106-9; ISSN 2184-3252, SciTePress, pages 150-155. DOI: 10.5220/0005494101500155

@conference{webist15,
author={Afef Walha. and Faiza Ghozzi. and Faiez Gargouri.},
title={ETL Transformation Algorithm for Facebook Opinion Data},
booktitle={Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST},
year={2015},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005494101500155},
isbn={978-989-758-106-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - WEBIST
TI - ETL Transformation Algorithm for Facebook Opinion Data
SN - 978-989-758-106-9
IS - 2184-3252
AU - Walha, A.
AU - Ghozzi, F.
AU - Gargouri, F.
PY - 2015
SP - 150
EP - 155
DO - 10.5220/0005494101500155
PB - SciTePress