This paper is published in Volume-6, Issue-4, 2020
Area
Computer Science And Engineering
Author
Jacquelin Anushya P., P. Nisha Priya
Org/Univ
CSI College of Engineering, Ketti, Tamil Nadu, India
Pub. Date
25 August, 2020
Paper ID
V6I4-1453
Publisher
Keywords
Text, Social Media, Emotion Ontology

Citationsacebook

IEEE
Jacquelin Anushya P., P. Nisha Priya. Mood recognition emotion ontology with texts, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jacquelin Anushya P., P. Nisha Priya (2020). Mood recognition emotion ontology with texts. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Jacquelin Anushya P., P. Nisha Priya. "Mood recognition emotion ontology with texts." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

Emotion can be expressed in many ways where we can see recognition from speech, image or video frames, facial expression, gestures. Deep Learning has increasing attention to its significant processing power. The rapid development and universal availability of Social Media analyzing these data using traditional tools and technologies are tough to examine the fundamental behavior of occurrence in networking sites. Emotion detection in the text files is essentially content in social media. In this paper, we are seeing emotion recognition based on textual data and the techniques are the basic operation of arithmetic such as addition and statements of for loop, else if condition with deep learning and its features.