CSenticNet: A Concept-Level Resource for Sentiment Analysis in Chinese Language

被引：3
|
作者：
Peng, Haiyun [1 ]
Cambria, Erik [1 ]
机构：
[1] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
来源：
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, CICLING 2017, PT II | 2018年 / 10762卷
关键词：
D O I：
10.1007/978-3-319-77116-8_7
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, sentiment analysis has become a hot topic in natural language processing. Although sentiment analysis research in English is rather mature, Chinese sentiment analysis has just set sail, as the limited amount of sentiment resources in Chinese severely limits its development. In this paper, we present a method for the construction of a Chinese sentiment resource. We utilize both English sentiment resources and the Chinese knowledge base NTU Multi-lingual Corpus. In particular, we first propose a resource based on SentiWordNet and a second version based on SenticNet.
引用
收藏
页码：90 / 104
页数：15
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