A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce

With the usage of Web 2.0 technologies, the internet users share their views via social media resulting in a large amount of raw data for which data mining techniques are needed to extract valuable knowledge. An example of people's views that can be extracted from the users' comments(tweet...

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Main Authors: Eshak, M.I., Ahmad, R., Sarlan, A.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047434854&doi=10.1109%2fICBDAA.2017.8284108&partnerID=40&md5=6d909e39ea3f9de87e1c82f64a927191
http://eprints.utp.edu.my/21774/
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spelling my.utp.eprints.217742018-08-14T00:45:11Z A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce Eshak, M.I. Ahmad, R. Sarlan, A. With the usage of Web 2.0 technologies, the internet users share their views via social media resulting in a large amount of raw data for which data mining techniques are needed to extract valuable knowledge. An example of people's views that can be extracted from the users' comments(tweets) is their interest or preference on different products, services, events etc. This research work aims to study on the customer intention to purchase in social-commerce(s-commerce). Finding out the intention of customer to purchase in s-commerce is important due to the major role being brought by the customers in marketing. Sentiment analysis is seen to be the most appropriate method to extract customer's opinions. This paper presents the fundamental part of the research for developing a hybrid sentiment analysis model by using machine learning approach and lexicon-based approach to analyze communications especially using Malay language on social network portals to determine the customer intention to purchase in s-commerce. Precision, recall, accuracy and f-measure metrics are proposed for the computing and comparing the results of the experiments. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047434854&doi=10.1109%2fICBDAA.2017.8284108&partnerID=40&md5=6d909e39ea3f9de87e1c82f64a927191 Eshak, M.I. and Ahmad, R. and Sarlan, A. (2018) A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce. 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, 2018-J . pp. 61-66. http://eprints.utp.edu.my/21774/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description With the usage of Web 2.0 technologies, the internet users share their views via social media resulting in a large amount of raw data for which data mining techniques are needed to extract valuable knowledge. An example of people's views that can be extracted from the users' comments(tweets) is their interest or preference on different products, services, events etc. This research work aims to study on the customer intention to purchase in social-commerce(s-commerce). Finding out the intention of customer to purchase in s-commerce is important due to the major role being brought by the customers in marketing. Sentiment analysis is seen to be the most appropriate method to extract customer's opinions. This paper presents the fundamental part of the research for developing a hybrid sentiment analysis model by using machine learning approach and lexicon-based approach to analyze communications especially using Malay language on social network portals to determine the customer intention to purchase in s-commerce. Precision, recall, accuracy and f-measure metrics are proposed for the computing and comparing the results of the experiments. © 2017 IEEE.
format Article
author Eshak, M.I.
Ahmad, R.
Sarlan, A.
spellingShingle Eshak, M.I.
Ahmad, R.
Sarlan, A.
A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
author_facet Eshak, M.I.
Ahmad, R.
Sarlan, A.
author_sort Eshak, M.I.
title A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
title_short A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
title_full A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
title_fullStr A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
title_full_unstemmed A preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
title_sort preliminary study on hybrid sentiment model for customer purchase intention analysis in socialcommerce
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047434854&doi=10.1109%2fICBDAA.2017.8284108&partnerID=40&md5=6d909e39ea3f9de87e1c82f64a927191
http://eprints.utp.edu.my/21774/
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score 13.222552