Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN

作者：

Highlights：

• A divide-and-conquer method classifying sentence types before sentiment analysis.

• Classifying sentence types by the number of opinion targets a sentence contain.

• A data-driven approach automatically extract features from input sentences.

摘要

•A divide-and-conquer method classifying sentence types before sentiment analysis.•Classifying sentence types by the number of opinion targets a sentence contain.•A data-driven approach automatically extract features from input sentences.

论文关键词：Natural language processing,Sentiment analysis,Deep neural network

论文评审过程：Received 9 July 2016, Revised 1 October 2016, Accepted 21 October 2016, Available online 9 November 2016, Version of Record 2 January 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.10.065