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Sentiment Analysis in Social Engineering Messages

While sentiment analysis for social engineering has been a developing topic of research in text mining, research on sentiment analysis has not been nearly as thorough, despite its widespread use in communication in our day-to-day tasks. The purpose of this study was to do sentiment analysis on socia...

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Main Author: Syamsul, Nur Dania Farizah
Format: Final Year Project
Language:English
Published: 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://utpedia.utp.edu.my/id/eprint/26979/1/18002726.pdf
http://utpedia.utp.edu.my/id/eprint/26979/
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spelling oai:utpedia.utp.edu.my:269792024-05-29T07:13:01Z http://utpedia.utp.edu.my/id/eprint/26979/ Sentiment Analysis in Social Engineering Messages Syamsul, Nur Dania Farizah QA75 Electronic computers. Computer science While sentiment analysis for social engineering has been a developing topic of research in text mining, research on sentiment analysis has not been nearly as thorough, despite its widespread use in communication in our day-to-day tasks. The purpose of this study was to do sentiment analysis on social engineering messages to determine the emotional intentions represented in spam messages. This study presents an emotional response of sentiment analysis based on a document-term matrix, and sentiment classification is carried out using the tidy text package using a lexicon-based approach. The results indicate which terms contribute to each sentiment in social engineering messages. This study contributes to a deeper understanding of the underlying motives and strategies used in the dissemination of spam messages by examining the emotional nuances of social engineering communications. This understanding will inform efforts to combat deceptive practices and safeguard against malicious intents in online interactions. 2024-01 Final Year Project NonPeerReviewed text en http://utpedia.utp.edu.my/id/eprint/26979/1/18002726.pdf Syamsul, Nur Dania Farizah (2024) Sentiment Analysis in Social Engineering Messages. [Final Year Project] (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Syamsul, Nur Dania Farizah
Sentiment Analysis in Social Engineering Messages
description While sentiment analysis for social engineering has been a developing topic of research in text mining, research on sentiment analysis has not been nearly as thorough, despite its widespread use in communication in our day-to-day tasks. The purpose of this study was to do sentiment analysis on social engineering messages to determine the emotional intentions represented in spam messages. This study presents an emotional response of sentiment analysis based on a document-term matrix, and sentiment classification is carried out using the tidy text package using a lexicon-based approach. The results indicate which terms contribute to each sentiment in social engineering messages. This study contributes to a deeper understanding of the underlying motives and strategies used in the dissemination of spam messages by examining the emotional nuances of social engineering communications. This understanding will inform efforts to combat deceptive practices and safeguard against malicious intents in online interactions.
format Final Year Project
author Syamsul, Nur Dania Farizah
author_facet Syamsul, Nur Dania Farizah
author_sort Syamsul, Nur Dania Farizah
title Sentiment Analysis in Social Engineering Messages
title_short Sentiment Analysis in Social Engineering Messages
title_full Sentiment Analysis in Social Engineering Messages
title_fullStr Sentiment Analysis in Social Engineering Messages
title_full_unstemmed Sentiment Analysis in Social Engineering Messages
title_sort sentiment analysis in social engineering messages
publishDate 2024
url http://utpedia.utp.edu.my/id/eprint/26979/1/18002726.pdf
http://utpedia.utp.edu.my/id/eprint/26979/
_version_ 1800722152002945024
score 13.222552

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