Multilingual emotion classification using supervised learning: Comparative experiments

作者：

Highlights：

• Investigated emotion classification in texts in a multilingual (ML) context.

• Assessed two ML strategies to compensate losses due to automatic translation.

• Assessed data pre-processing options and classification algorithms for emotion classification.

• Compared results of ML emotion and polarity classification.

摘要

•Investigated emotion classification in texts in a multilingual (ML) context.•Assessed two ML strategies to compensate losses due to automatic translation.•Assessed data pre-processing options and classification algorithms for emotion classification.•Compared results of ML emotion and polarity classification.

论文关键词：Sentiment analysis,Multilingual sentiment analysis,Emotion mining

论文评审过程：Received 8 December 2015, Revised 7 December 2016, Accepted 16 December 2016, Available online 11 February 2017, Version of Record 11 February 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.12.008