Open AccessEMOTION MINING IN ENGLISH TEXT USING BAYES & SVM APPROACH
Publication year - 2021
Publication title -
international journal of engineering, sciences and research technology
Language(s) - English
Resource type - Journals
ISSN - 2277-9655
DOI - 10.29121/ijesrt.v10.i3.2021.2
Subject(s) - gratitude , support vector machine , task (project management) , gesture , computer science , naive bayes classifier , natural language processing , emotion classification , emotion recognition , artificial intelligence , facial expression , speech recognition , psychology , social psychology , engineering , systems engineering
Emotions have captivated researchers for years, as is obvious in the huge body of research work related to emotion in area of mental characteristics, language, socialism, and interaction. Human emotion manifests itself in the form of facial expressions, speech utterances, writings, and in gestures and actions. As a result, technical research in emotion has been pursued along several proportions and has drawn upon research from various areas. This paper results in the chore of emotion gratitude by attempting to robotically learn emotions from text. In this paper, a new technique to mine the emotions from an English text has been introduced. We have used 10 categories from which we can extract the motions. Proposed system use bays and SVM approach to perform the given task. The accuracy of the proposed system is better as compared to the existing system.