Email text analysis web application for emotion recognition using sentiment analysis

ROSMAN, AHMAD KHAIRI (2021) Email text analysis web application for emotion recognition using sentiment analysis. [Final Year Project] (Submitted)

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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
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

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