Knowledge Commons of Institute of Automation,CAS
Incorporating Multi-Level User Preference into Document-Level Sentiment Classification | |
Li, Junjie1,4; Li, Haoran1,4; Kang, Xiaomian1,4; Yang, Haitong2,5; Zong, Chenqing3,4 | |
发表期刊 | ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING |
ISSN | 2375-4699 |
2019 | |
卷号 | 18期号:1页码:17 |
摘要 | Document-level sentiment classification aims to predict a user's sentiment polarity in a document about a product. Most existing methods only focus on review contents and ignore users who post reviews. In fact, when reviewing a product, different users have different word-using habits to express opinions (i.e., word-level user preference), care about different attributes of the product (i.e., aspect-level user preference), and have different characteristics to score the review (i.e., polarity-level user preference). These preferences have great influence on interpreting the sentiment of text. To address this issue, we propose a model called Hierarchical User Attention Network (HUAN), which incorporates multi-level user preference into a hierarchical neural network to perform document-level sentiment classification. Specifically, HUAN encodes different kinds of information (word, sentence, aspect, and document) in a hierarchical structure and imports user embedding and user attention mechanism to model these preferences. Empirical results on two real-world datasets show that HUAN achieves state-of-the-art performance. Furthermore, HUAN can also mine important attributes of products for different users. |
关键词 | Sentiment classification deep learning user preference hierarchical attention network |
DOI | 10.1145/3234512 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Program of China[2017YFB1002103] ; National Key Research and Development Program of China[2017YFB1002103] |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000457155300007 |
出版者 | ASSOC COMPUTING MACHINERY |
七大方向——子方向分类 | 自然语言处理 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/25292 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Zong, Chenqing |
作者单位 | 1.Univ Chinese Acad Sci, Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 2.Cent China Normal Univ, Sch Comp, Wuhan, Hubei, Peoples R China 3.Univ Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Chinese Acad Sci, Natl Lab Pattern Recognit,Inst Automat, Beijing, Peoples R China 4.Intelligence Bldg,95,Zhongguancun East Rd, Beijing 100190, Peoples R China 5.152 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Li, Junjie,Li, Haoran,Kang, Xiaomian,et al. Incorporating Multi-Level User Preference into Document-Level Sentiment Classification[J]. ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,2019,18(1):17. |
APA | Li, Junjie,Li, Haoran,Kang, Xiaomian,Yang, Haitong,&Zong, Chenqing.(2019).Incorporating Multi-Level User Preference into Document-Level Sentiment Classification.ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING,18(1),17. |
MLA | Li, Junjie,et al."Incorporating Multi-Level User Preference into Document-Level Sentiment Classification".ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 18.1(2019):17. |
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2018-JunjieLi-tallip(956KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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