Social Emotion Mining: An Insight

Shivangi Chawla, Monica Mehrotra

SEM, Single-label Classification, Multi-label Classification, readers ‘emotion.

Emotions are an indispensable component of variety of texts present on online social media services. A lot of research has been done to detect and analyse the emotions present in text but most of them are done from the author’s perspective. This paper focuses on providing an in-depth survey of different work done in Social Emotion Mining (SEM) from reader’s perspective. It is a first attempt towards categorization of existing literature into emotion mining levels. It also highlights different models and techniques utilized by various authors in this area. Major limitations and challenges in this area of Emotion Detection and Analysis are also presented.

10.22161/ijaers/3.9.5