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 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.