ROSMAN, AHMAD KHAIRI (2021) Email text analysis web application for emotion recognition using sentiment analysis. [Final Year Project] (Submitted)
Email text analysis web application for emotion recognition using sentiment analysis.pdf
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Abstract
While sentiment analysis for social media sites and web data has been a developing topic of research in text mining, research on email sentiment analysis has not been nearly as thorough, despite its widespread use in communication in our dayto-day tasks. The purpose of this study was to do sentiment analysis on email text in order to determine the emotional intentions represented in emails. This study presents a framework for email sentiment analysis based on a document-term matrix, and sentiment classification is carried out using the tidy text package using a lexicon-based approach.
Item Type: | Final Year Project |
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Subjects: | T Technology > T Technology (General) |
Depositing User: | Ms Nurul Aidayana Mohammad Noordin |
Date Deposited: | 30 Jan 2023 07:33 |
Last Modified: | 30 Jan 2023 07:33 |
URI: | http://utpedia.utp.edu.my/id/eprint/24098 |