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首页> 外文期刊>International journal of synthetic emotions >An Approach to Opinion Mining in Community Graph Using Graph Mining Techniques
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An Approach to Opinion Mining in Community Graph Using Graph Mining Techniques

机译：图挖掘技术的社区图观点挖掘方法

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摘要

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.
机译：意见是几乎所有人类活动的中心主题，也是我们行为的关键影响者。与情感，评价，态度和情感有关的观点是研究观点挖掘的特征。重要的是研究有关政府机构和非政府组织实施的计划的各个社区的人们。观点挖掘是关于Panchayat村庄各个社区对印度政府实施的各种社会计划的观点。本文针对Panchayat使用图挖掘技术提出的各种社会方案，提出了一种在社区图中挖掘观点的算法。该算法已用C ++编程语言实现。

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