Expressive signals in social media languages to improve polarity detection
作者：
Highlights：
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• To capture the sentiment of messages, several expressive forms are investigated.
• Expressive signals enrich the feature space of baseline and ensemble classifiers.
• Only adjectives play a fundamental role as expressive signal.
• Pragmatic particles and expressive lengthening could lead to the de finition of erratic polarity classifiers.
摘要
•To capture the sentiment of messages, several expressive forms are investigated.•Expressive signals enrich the feature space of baseline and ensemble classifiers.•Only adjectives play a fundamental role as expressive signal.•Pragmatic particles and expressive lengthening could lead to the de finition of erratic polarity classifiers.
论文关键词：Sentiment analysis,Polarity detection,Expressive signals
论文评审过程：Received 21 May 2014, Revised 7 April 2015, Accepted 11 April 2015, Available online 12 June 2015, Version of Record 10 December 2015.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.04.004
