A CONCEPTUAL MODEL FOR UNDERSTANDING THE IMPACT OF TEXTUAL EMOTION MINING
Shivangi Chawla · International Journal of Advanced Research in Computer Science · 2018
The widespread adoption of social media applications in today’s internet world has created a revolution in the field of Textual emotion mining (TEM). TEM has gained a significant amount of interest in the past few years where a large community of researchers is focusing on the efficient extraction of emotions, ignoring the influential behavior of emotions. This paper presents a unique study to focus on the outcome of research on Textual Emotion Mining instead on the process of emotion mining. It classifies the output of TEM by presenting an emotion-output model. It also discusses the influential capability of emotions in various domains, shedding light on various new avenues by analyzing the different work done in this area.