Understanding Emotions in Text Using Deep Learning and Big Data

作者：

Highlights：

• Emotion Detection in text finds several practical applications such as modulation of responses for real-world chat-bot.

• Combining Sentiment and Semantic information in a text improves emotion detection system.

• Our approach learns diverse ways of expressing emotions and significantly outperforms methods described in literature.

摘要

•Emotion Detection in text finds several practical applications such as modulation of responses for real-world chat-bot.•Combining Sentiment and Semantic information in a text improves emotion detection system.•Our approach learns diverse ways of expressing emotions and significantly outperforms methods described in literature.

论文关键词：Cognitive computing,Chat bot,Deep learning,Structured semantics,Conversational agent,Long-short term memory,Convolutional networks

论文评审过程：Received 3 April 2018, Revised 6 December 2018, Accepted 17 December 2018, Available online 21 December 2018, Version of Record 28 December 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.12.029