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

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• 作者：Tao Chen^a ; ^{chentao1999@gmail.com} ; Ruifeng Xu ; ^a ; ^b ; ^{xuruifeng@hitsz.edu.cn} ; Yulan He^c ; ^{hey9@aston.ac.uk} ; Xuan Wang^a ; ^{wangxuan@hitsz.edu.cn}
• 关键词：Natural language processing ; Sentiment analysis ; Deep neural network
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：221-230
• 全文大小：861 K
• 卷排序：72

文摘

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.