loading
Documents

Research.Publish.Connect.

Paper

Authors: Samreen Zehra ; Shaukat Wasi ; Imran Jami ; Aisha Nazir ; Ambreen Khan and Nusrat Waheed

Affiliation: Mohammad Ali Jinnah University, Pakistan

ISBN: 978-989-758-272-1

Keyword(s): Ontology, Sentiment Analysis, Recommendation System.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Domain Analysis and Modeling ; Enterprise Information Systems ; Expert Systems ; Health Engineering and Technology Applications ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Pattern Recognition ; Symbolic Systems

Abstract: In this paper, we propose a novel approach towards developing a recommendation system using ontology-based sentiment analysis. To conduct our study, we have targeted a Facebook closed group which contains posts/reviews regarding different schools. For elucidating the knowledge domain, a school ontology is manually designed based on a set of extracted post/comment data. Sentiment analysis is consequently performed on the resulting Data set and the relative sentiment scores are stored back in the ontology for making recommendations in future.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

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 34.239.158.107

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:
Zehra, S.; Wasi, S.; Jami, I.; Nazir, A.; Khan, A. and Waheed, N. (2017). Ontology-based Sentiment Analysis Model for Recommendation Systems.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, ISBN 978-989-758-272-1, pages 155-160. DOI: 10.5220/0006491101550160

@conference{keod17,
author={Samreen Zehra. and Shaukat Wasi. and Imran Jami. and Aisha Nazir. and Ambreen Khan. and Nusrat Waheed.},
title={Ontology-based Sentiment Analysis Model for Recommendation Systems},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,},
year={2017},
pages={155-160},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006491101550160},
isbn={978-989-758-272-1},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD,
TI - Ontology-based Sentiment Analysis Model for Recommendation Systems
SN - 978-989-758-272-1
AU - Zehra, S.
AU - Wasi, S.
AU - Jami, I.
AU - Nazir, A.
AU - Khan, A.
AU - Waheed, N.
PY - 2017
SP - 155
EP - 160
DO - 10.5220/0006491101550160

Login or register to post comments.

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