面向文本意见挖掘的情感分析

A. Mohsen, A. Idrees, Hesham A. Hassan
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引用次数: 2

摘要

在过去的几年里,网络文档、博客和评论在许多领域扮演着重要的角色,因为组织总是以找到消费者或公众对其产品和服务的意见为目标。另一方面,个人消费者在购买某一产品之前,也会征求现有用户的意见或情感。这种方法是目前适应组织计划的最重要的方法之一。在本文中,作者从文本的角度对情感分析的不同技术和方法进行了综述。他们还展示了不同研究人员提出的技术和方法,并根据应用方法和精度水平对许多方法进行了批评。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Analysis for Opinion Mining From Text
In the past few years, web documents, blogs, and reviews have played an important role in many fields as organizations always aim to find consumer or public opinions about their products and services. On the other hand, individual consumers also seek the opinions or emotions of existing users of a certain product before purchasing it. This method is currently one of the most vital methods for adapting the organizations' plans. In this article, the authors provide a survey for different techniques and approaches for emotion analysis from the text. They also demonstrate the techniques and the methods that have been proposed by different researchers with criticizing many of these methods according to the applied approach and the accuracy level.
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