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CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]

Safehse is a clothing brand established in 2020. Safehse clothing highlights the essence of South Korean streetwear and puts it under the spotlight. The customer text review is one of the features that Safehse have to play a role in helping the customer to make their purchasing decision. However, Sa...

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Main Authors: Suhaimi, Nur Suhailayani, Sharip, Anis Afiqah, Arbin, Norazam, Azyan Izzati, Azyan Izzati
Format: Book Section
Language:English
Published: Faculty of Computer and Mathematical Sciences 2023
Subjects:
Information technology. Information systems
Online Access:https://ir.uitm.edu.my/id/eprint/93560/1/93560.pdf
https://ir.uitm.edu.my/id/eprint/93560/
https://jamcsiix.uitm.edu.my/
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spelling my.uitm.ir.935602024-05-28T08:27:49Z https://ir.uitm.edu.my/id/eprint/93560/ CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.] Suhaimi, Nur Suhailayani Sharip, Anis Afiqah Arbin, Norazam Azyan Izzati, Azyan Izzati Information technology. Information systems Safehse is a clothing brand established in 2020. Safehse clothing highlights the essence of South Korean streetwear and puts it under the spotlight. The customer text review is one of the features that Safehse have to play a role in helping the customer to make their purchasing decision. However, Safehse encountered a few problems with the current process of identifying genuine or fake reviews, time-consuming to classify positive and negative from the customer text review, and misleading or misunderstanding reviews that need to be clarified for the customers. In order to reduce and minimize the problem, Safehse needs to use the classification of text reviews by using sentiment analysis. This research project aims to develop a system to classify text reviews for Safehse, which can identify positive and negative reviews. The sentiment analysis technique used for this text review classification is supervised machine learning that anticipates occurrences by combining what it has learned from prior and current data with labels. The outcome of this text review classification is to display the categorized reviews with the calculated tokenization. As for the result of this project, the system will display the categorized review with the classification of positive and negative. The project will also display the genuine or fake review categories with the percentage of criteria from the data training. In average, more 75 % of sample data are correctly classified based on their pre-defined classes and more 55 % of data precisely categorized into fake or genuine label. For future enhancement of this project, a mobile application feature can be added to ease the text classification process quickly. Faculty of Computer and Mathematical Sciences 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/93560/1/93560.pdf CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]. (2023) In: International Jasin Multimedia & Computer Science Invention and Innovation Exhibition (i-JaMCSIIX 2023). Faculty of Computer and Mathematical Sciences, Kampus Jasin, p. 6. (Submitted) https://jamcsiix.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Information technology. Information systems
spellingShingle Information technology. Information systems
Suhaimi, Nur Suhailayani
Sharip, Anis Afiqah
Arbin, Norazam
Azyan Izzati, Azyan Izzati
CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
description Safehse is a clothing brand established in 2020. Safehse clothing highlights the essence of South Korean streetwear and puts it under the spotlight. The customer text review is one of the features that Safehse have to play a role in helping the customer to make their purchasing decision. However, Safehse encountered a few problems with the current process of identifying genuine or fake reviews, time-consuming to classify positive and negative from the customer text review, and misleading or misunderstanding reviews that need to be clarified for the customers. In order to reduce and minimize the problem, Safehse needs to use the classification of text reviews by using sentiment analysis. This research project aims to develop a system to classify text reviews for Safehse, which can identify positive and negative reviews. The sentiment analysis technique used for this text review classification is supervised machine learning that anticipates occurrences by combining what it has learned from prior and current data with labels. The outcome of this text review classification is to display the categorized reviews with the calculated tokenization. As for the result of this project, the system will display the categorized review with the classification of positive and negative. The project will also display the genuine or fake review categories with the percentage of criteria from the data training. In average, more 75 % of sample data are correctly classified based on their pre-defined classes and more 55 % of data precisely categorized into fake or genuine label. For future enhancement of this project, a mobile application feature can be added to ease the text classification process quickly.
format Book Section
author Suhaimi, Nur Suhailayani
Sharip, Anis Afiqah
Arbin, Norazam
Azyan Izzati, Azyan Izzati
author_facet Suhaimi, Nur Suhailayani
Sharip, Anis Afiqah
Arbin, Norazam
Azyan Izzati, Azyan Izzati
author_sort Suhaimi, Nur Suhailayani
title CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
title_short CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
title_full CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
title_fullStr CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
title_full_unstemmed CRC – Clothing Review Classification using sentiment analysis / Nur Suhailayani Suhaimi ... [et al.]
title_sort crc – clothing review classification using sentiment analysis / nur suhailayani suhaimi ... [et al.]
publisher Faculty of Computer and Mathematical Sciences
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/93560/1/93560.pdf
https://ir.uitm.edu.my/id/eprint/93560/
https://jamcsiix.uitm.edu.my/
_version_ 1800726572796215296
score 13.211869

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