Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim

This study investigates public sentiment towards AI chatbots, recognizing the critical importance of understanding public perceptions for effective integration. Facing challenges with existing methods, the Support Vector Machine (SVM) algorithm is employed for its proficiency in handling textual dat...

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Main Author:	Tuan Ibrahim, Tuan Nur Azlina
Format:	Thesis
Language:	English
Published:	2024
Subjects:	Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/96284/1/96284.pdf
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id	my-uitm-ir.96284
record_format	uketd_dc
spelling	my-uitm-ir.962842024-06-04T07:20:21Z Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim 2024 Tuan Ibrahim, Tuan Nur Azlina Algorithms This study investigates public sentiment towards AI chatbots, recognizing the critical importance of understanding public perceptions for effective integration. Facing challenges with existing methods, the Support Vector Machine (SVM) algorithm is employed for its proficiency in handling textual data. Analyzing 11,430 tweets through a systematic approach involving literature review, data preprocessing, and feature extraction, the SVM model's high accuracy of 91.27% in categorizing sentiments is showcased. The results provide valuable insights into positive, negative, and neutral perceptions, addressing limitations through strategic adaptations. The research contributes a comprehensive exploration of sentiment analysis, combining technical expertise with societal insights. The SVM-based sentiment analyzer offers a user-friendly tool bridging complex algorithms and practical applications. The study lays the groundwork for future research, suggesting avenues for expanding data resources, exploring advanced models, and enhancing user interfaces. Ultimately, it advances understanding of public sentiments towards AI chatbots, facilitating improved applications and societal integration. 2024 Thesis https://ir.uitm.edu.my/id/eprint/96284/ https://ir.uitm.edu.my/id/eprint/96284/1/96284.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Mathematics Palaniappan, Siva Shamala
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Palaniappan, Siva Shamala
topic	Algorithms
spellingShingle	Algorithms Tuan Ibrahim, Tuan Nur Azlina Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
description	This study investigates public sentiment towards AI chatbots, recognizing the critical importance of understanding public perceptions for effective integration. Facing challenges with existing methods, the Support Vector Machine (SVM) algorithm is employed for its proficiency in handling textual data. Analyzing 11,430 tweets through a systematic approach involving literature review, data preprocessing, and feature extraction, the SVM model's high accuracy of 91.27% in categorizing sentiments is showcased. The results provide valuable insights into positive, negative, and neutral perceptions, addressing limitations through strategic adaptations. The research contributes a comprehensive exploration of sentiment analysis, combining technical expertise with societal insights. The SVM-based sentiment analyzer offers a user-friendly tool bridging complex algorithms and practical applications. The study lays the groundwork for future research, suggesting avenues for expanding data resources, exploring advanced models, and enhancing user interfaces. Ultimately, it advances understanding of public sentiments towards AI chatbots, facilitating improved applications and societal integration.
format	Thesis
qualification_level	Bachelor degree
author	Tuan Ibrahim, Tuan Nur Azlina
author_facet	Tuan Ibrahim, Tuan Nur Azlina
author_sort	Tuan Ibrahim, Tuan Nur Azlina
title	Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
title_short	Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
title_full	Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
title_fullStr	Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
title_full_unstemmed	Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim
title_sort	entiment analysis of public perception on ai chatbots using support vector machine (svm) algoritm / tuan nur azlina tuan ibrahim
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	College of Computing, Informatics and Mathematics
publishDate	2024
url	https://ir.uitm.edu.my/id/eprint/96284/1/96284.pdf
_version_	1804889982521835520

Entiment analysis of public perception on AI chatbots using Support Vector Machine (SVM) algoritm / Tuan Nur Azlina Tuan Ibrahim

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