Sentiment analysis leveraging emotions and word embeddings
作者：
Highlights：
• A flexible, generic methodology for the sentiment prediction of written documents.
• The methodology can be easily customized for any language.
• Hybrid approach combining Word2Vec and Bag-of-Words representations.
• Applied on online user reviews in both Greek and English languages.
• Improved accuracy and efficiency in comparison to existing other approaches.
摘要
•A flexible, generic methodology for the sentiment prediction of written documents.•The methodology can be easily customized for any language.•Hybrid approach combining Word2Vec and Bag-of-Words representations.•Applied on online user reviews in both Greek and English languages.•Improved accuracy and efficiency in comparison to existing other approaches.
论文关键词：Multilingual sentiment analysis,Text analysis,Machine learning,Vector representation,Hybrid vectorization,Online user reviews
论文评审过程：Received 4 May 2016, Revised 16 October 2016, Accepted 18 October 2016, Available online 18 October 2016, Version of Record 28 October 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.043
