loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-758-106-9

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)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.172.234.236

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: WEBIST, ISBN 978-989-758-106-9, 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 - Volume 1: WEBIST,},
year={2015},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005494101500155},
isbn={978-989-758-106-9},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - ETL Transformation Algorithm for Facebook Opinion Data
SN - 978-989-758-106-9
AU - Walha, A.
AU - Ghozzi, F.
AU - Gargouri, F.
PY - 2015
SP - 150
EP - 155
DO - 10.5220/0005494101500155

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.