A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
Abstract
Currently, people use online social media such as Twitter or Facebook to share their emotions and thoughts. Detecting and analyzing the emotions expressed in social media content benefits many applications in commerce, public health, social welfare, etc. Most previous work on sentiment and emotion analysis has only focused on single-label classification and ignored the co-existence of multiple emotion labels in one instance. This paper describes...
Paper Details
Title
A Deep Learning-Based Approach for Multi-Label Emotion Classification in Tweets
Published Date
Mar 17, 2019
Journal
Volume
9
Issue
6
Pages
1123 - 1123
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