OEFC Algorithm--Sentiment Analysis on Goods and Service Tax System in India

机译：OEFC算法 - 印度商品与服务税制的情感分析

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Significance of the execution of paradoxical rules effects the economy of the country. Politicians need to predict the effect of any rule before it is implemented. Our rule makers introduced Goods and Service Tax recently in order to strengthen the economy of India. Nowadays, public are used to offer their opinions on Social media. There are lot of Tweets on Goods and Service Tax. To analyze the opinion of public we proposed an algorithm called Opinion Extraction using Favorites Count. This algorithm is applied on the twitter tweets to extract the opinion of public on Goods and Service Tax. The performance of this algorithm is compared with general sentiment analysis method.

机译：矛盾规则执行的意义影响了该国的经济。政治家需要在实施之前预测任何规则的效果。我们的统治者最近推出了商品和服务税，以加强印度的经济。如今，公众用于提供他们对社交媒体的看法。商品和服务税有很多推文。分析公众的意见，我们提出了一种使用收藏仪计算所谓的意见提取的算法。该算法适用于Twitter推文，以提取公共货物和服务税的意见。将该算法的性能与一般情感分析方法进行比较。

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《International Conference on Cognitive Informatics and Soft Computing》|2019年|xxii 809 pages|共11页
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作者
K. Purushottama Rao; Anupriya Koneru; D. Naga Raju;
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原文格式 PDF
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中图分类 TP18-532;
关键词
Goods and service tax; Tweets; Favorites count; Opinion mining; Sentiment analysis;

机译：商品和服务税;推文;最爱计数;意见采矿;情绪分析;

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OEFC Algorithm--Sentiment Analysis on Goods and Service Tax System in India

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