An Approach to Opinion Mining in Community Graph Using Graph Mining Techniques

B. Rao
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引用次数: 1

Abstract

Opinions are the central theme to almost all human activities, as well the key influencers of our behaviours. Opinions related to sentiments, evaluations, attitudes, and emotions are the features of studying of opinion mining. It is important to study peoples of various communities sentiments about the schemes implemented by the government agencies as well as NGOs. The opinion mining is about the opinions of various communities of villages of a Panchayat about various social schemes implemented by the government of India. This article proposes an algorithm for opinion mining in a community graph for various social schemes run by the Panchayat using graph mining techniques. The algorithm has been implemented in C++ programming language.
基于图挖掘技术的社区图意见挖掘方法
意见是几乎所有人类活动的中心主题,也是影响我们行为的关键因素。与情感、评价、态度和情感相关的意见是意见挖掘研究的特征。重要的是要研究不同社区的人对政府机构和非政府组织实施的计划的看法。意见挖掘是关于村务委员会的各个社区对印度政府实施的各种社会计划的意见。本文提出了一种利用图挖掘技术在村委会运行的各种社会方案的社区图中进行意见挖掘的算法。该算法已在c++语言中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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