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CHOpinionMiner: An unsupervised system for Chinese opinion target extraction

机译:CHOpinionMiner:中国舆论目标提取的无监督系统

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摘要

Opinion target extraction (OTE) is an important task in fine-grained sentiment analysis field, which focuses on the identification of the targets of users' opinions or sentiments from online reviews. Existing approaches to OTE are mainly based on unsupervised rule-based methods or supervised machine learning methods. However, the latter needs a large number of labeled samples to train their models and lack of labeled corpus limits the research progress on OTE of Chinese. In this paper, we proposed a novel unsupervised and domain independent system called CHOpinionMiner. First, noun phrases are extracted as candidate opinion targets based on phrase structure grammar, then the syntactic paths of the candidate opinion targets and the opinion words in one opinionated sentence are extracted. After that, the legal paths, or rather, the opinion targets-opinion lexicon pairs that are syntactically associated are selected according to the syntactic rules. Finally, not only the formal targets but also the orientations are obtained. Experiments on data sets consisting of microblog topics and product reviews demonstrate that our approach outperforms the existing state-of-the-art methods.
机译:意见目标提取(OTE)是细粒度情感分析领域的一项重要任务,其重点在于从在线评论中识别用户意见或情感目标。现有的OTE方法主要基于无监督的基于规则的方法或受监督的机器学习方法。然而,后者需要大量标记样本来训练他们的模型,缺乏标记语料库限制了中国OTE的研究进展。在本文中,我们提出了一种名为CHOpinionMiner的新型无监督且独立于域的系统。首先,基于短语结构语法,提取名词短语作为候选意见目标,然后提取候选意见目标和一个有观点的句子中的意见词的句法路径。此后,根据语法规则选择在语法上相关联的合法路径,或者更确切地说,是在语法上相关联的意见目标-意见词典对。最后,不仅获得了正式的目标,而且获得了方向。对包含微博主题和产品评论的数据集进行的实验表明,我们的方法优于现有的最新方法。

著录项

  • 来源
    《Concurrency, practice and experience》 |2020年第7期|e5582.1-e5582.14|共14页
  • 作者

  • 作者单位

    Tsinghua Univ Sch Humanities Lab Computat Linguist Beijing 100084 Peoples R China|Commun Univ China Natl Language Resources Monitoring & Res Ctr Broadcast Media Language Branch Beijing Peoples R China;

    Commun Univ China Natl Language Resources Monitoring & Res Ctr Broadcast Media Language Branch Beijing Peoples R China;

    Tsinghua Univ Sch Humanities Lab Computat Linguist Beijing 100084 Peoples R China;

    Tsinghua Univ Sch Humanities Beijing Sport Univ & Lab Cognit Linguist Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    opinion expression; opinion target; sentiment analysis; syntactic path;

    机译:意见表达;意见目标;情绪分析;句法路径;

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