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The Definition, Current Situation and Development Trend of Latent Aspect Rating Analysis in Text Mining

Published: 23 June 2018 Publication History

Abstract

The field of latent aspect rating analysis has been developed in the last few years. Firstly, we introduce the background and definition of latent aspect rating analysis in text mining. Secondly, we have collected literature on the latent aspect rating analysis of the research in recent years and summarized the development status of this field. Finally, the future development trend and expectation of this field are put forward according to relevant literature. Furthermore, the main contribution of this paper is to describe the field and analyze its development trend according to the author's research work.

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    ICCPR '18: Proceedings of the 2018 International Conference on Computing and Pattern Recognition
    June 2018
    122 pages
    ISBN:9781450364713
    DOI:10.1145/3232829
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Chinese Academy of Sciences
    • Harbin Inst. Technol.: Harbin Institute of Technology

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 23 June 2018

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    Author Tags

    1. Aspect
    2. Latent Aspect Rating Analysis
    3. Text Mining

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