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QPLSA: Utilizing quad-tuples for aspect identification and rating

机译：QPLSA：利用四元组进行外观识别和评级

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摘要

Aspect level sentiment analysis is important for numerous opinion mining and market analysis applications. In this paper, we study the problem of identifying and rating review aspects, which is the fundamental task in aspect level sentiment analysis. Previous review aspect analysis methods seldom consider entity or rating but only 2-tuples, i.e., head and modifier pair, e.g., in the phrase "nice room", "room" is the head and "nice" is the modifier. To solve this problem, we novelly present a Quad-tuple Probability Latent Semantic Analysis (QPLSA), which incorporates entity and its rating together with the 2-tuples into the PLSA model. Specifically, QPLSA not only generates fine-granularity aspects, but also captures the correlations between words and ratings. We also develop two novel prediction approaches, the Quad-tuple Prediction (from the global perspective) and the Expectation Prediction (from the local perspective). For evaluation, systematic experiments show that: Quad-tuple PLSA outperforms 2-tuple PLSA significantly on both aspect identification and aspect rating prediction for publication datasets. Moreover, for aspect rating prediction, QPLSA shows significant superiority over state-of-the-art baseline methods. Besides, the Quad-tuple Prediction and the Expectation Prediction also show their strong ability in aspect rating on different datasets.
机译：方面的情感分析对于大量的观点挖掘和市场分析应用程序很重要。在本文中，我们研究了识别和评价评论方面的问题，这是方面水平情感分析的基本任务。先前的评论方面分析方法很少考虑实体或等级，而仅考虑两个元组，即头部和修饰语对，例如在短语“漂亮的房间”中，“房间”是头部并且“漂亮的”是修饰语。为了解决这个问题，我们新颖地提出了四元组概率潜在语义分析（QPLSA），该算法将实体及其等级以及2元组合并到PLSA模型中。具体来说，QPLSA不仅会生成细粒度的方面，而且还会捕获单词和等级之间的相关性。我们还开发了两种新颖的预测方法，即四元组预测（从全局角度来看）和期望预测（从局部角度来看）。为了进行评估，系统的实验表明：在发布数据集的方面识别和方面评级预测方面，四元组PLSA明显优于2元组PLSA。此外，对于方面评级预测，QPLSA显示出优于最新基线方法的显着优势。此外，四元组预测和期望预测在不同数据集的方面评级方面也显示出强大的能力。

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  • 来源
    《Information Processing & Management》 |2015年第1期|25-41|共17页
  • 作者

    Wenjuan Luo; Fuzhen Zhuang; Weizhong Zhao; Qing He; Zhongzhi Shi;

  • 作者单位

    Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China,University of Chinese Academy of Sciences, Beijing 100049, China;

    Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;

    Xiangtan University, College of Information Engineering, Hunan Xiongtan 411105, China;

    Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;

    Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China;

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

    Quad-tuple PLSA; Aspect mining; Sentiment analysis;

    机译：四元组PLSA方面挖掘;情绪分析;

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