Towards sentiment analysis application in housing projects

In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan.To measure the effectiveness of the initiati...

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Main Authors: Mahadzir, Nurul Husna, Omar, Mohd Faizal, Mohd Nawi, Mohd Nasrun
פורמט: Article
שפה:English
יצא לאור: Universiti Teknikal Malaysia Melaka 2016
נושאים:
גישה מקוונת:https://repo.uum.edu.my/id/eprint/20512/1/JTEC%208%208%202016%20145%20148.pdf
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author Mahadzir, Nurul Husna
Omar, Mohd Faizal
Mohd Nawi, Mohd Nasrun
author_facet Mahadzir, Nurul Husna
Omar, Mohd Faizal
Mohd Nawi, Mohd Nasrun
author_sort Mahadzir, Nurul Husna
collection UUM
description In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan.To measure the effectiveness of the initiatives taken, public opinion is necessary.A social media platform has been seen as the most effective mechanism to get information on people’s thought and feeling towards certain issues. One of the best ways to extract emotions and thoughts from what people post in social media is through Sentiment Analysis (SA).This paper will propose a new framework that focuses on the application of sentiment analysis to assist the decision maker in understanding the real voice of the public in regard to property industry in Malaysia.The framework will consist of two components; sentiment classification at feature/aspect level and sentiment visualization to show the results of the analysis.
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spelling uum-205122017-01-03T07:35:35Z https://repo.uum.edu.my/id/eprint/20512/ Towards sentiment analysis application in housing projects Mahadzir, Nurul Husna Omar, Mohd Faizal Mohd Nawi, Mohd Nasrun TH Building construction In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan.To measure the effectiveness of the initiatives taken, public opinion is necessary.A social media platform has been seen as the most effective mechanism to get information on people’s thought and feeling towards certain issues. One of the best ways to extract emotions and thoughts from what people post in social media is through Sentiment Analysis (SA).This paper will propose a new framework that focuses on the application of sentiment analysis to assist the decision maker in understanding the real voice of the public in regard to property industry in Malaysia.The framework will consist of two components; sentiment classification at feature/aspect level and sentiment visualization to show the results of the analysis. Universiti Teknikal Malaysia Melaka 2016 Article PeerReviewed application/pdf en cc_by https://repo.uum.edu.my/id/eprint/20512/1/JTEC%208%208%202016%20145%20148.pdf Mahadzir, Nurul Husna and Omar, Mohd Faizal and Mohd Nawi, Mohd Nasrun (2016) Towards sentiment analysis application in housing projects. Journal of Telecommunication, Electronic and Computer Engineering, 8 (8). pp. 145-148. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/1335
spellingShingle TH Building construction
Mahadzir, Nurul Husna
Omar, Mohd Faizal
Mohd Nawi, Mohd Nasrun
Towards sentiment analysis application in housing projects
title Towards sentiment analysis application in housing projects
title_full Towards sentiment analysis application in housing projects
title_fullStr Towards sentiment analysis application in housing projects
title_full_unstemmed Towards sentiment analysis application in housing projects
title_short Towards sentiment analysis application in housing projects
title_sort towards sentiment analysis application in housing projects
topic TH Building construction
url https://repo.uum.edu.my/id/eprint/20512/1/JTEC%208%208%202016%20145%20148.pdf
work_keys_str_mv AT mahadzirnurulhusna towardssentimentanalysisapplicationinhousingprojects
AT omarmohdfaizal towardssentimentanalysisapplicationinhousingprojects
AT mohdnawimohdnasrun towardssentimentanalysisapplicationinhousingprojects