Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets

• URL: http://arxiv.org/abs/2012.06025v1
• Date: Thu, 10 Dec 2020 23:45:53 GMT
• Title: Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets
• Authors: Yasas Senarath, Uthayasanker Thayasivam
• Abstract summary: We present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets. We show in our analysis that the proposed models outperform the state-of-the-art in emotion classification.
• Score: 2.0305676256390934
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning models. The proposed approach for emotion analysis combines a Long Short Term Memory (LSTM) network with a Convolutional Neural Network (CNN). Then we extend this approach for emotion intensity prediction using transfer learning technique. Furthermore, we propose a technique to visualize the importance of each word in a tweet to get a better understanding of the model. Experimentally, we show in our analysis that the proposed models outperform the state-of-the-art in emotion classification while maintaining competitive results in predicting emotion intensity.

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