Sentiment analysis of the demonitization of economy 2016 India, Regionwise

Falguni Gupta, S. Singal
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引用次数: 10

Abstract

Twitter is in deed the most sought after micro blogging site these days. It has had a great hand in voicing public opinion. The challenge lies in giving this voice a definition by extracting specific results so that we can head towards a better future keeping in mind the sentiments of the public. Although there have been many approaches to analyzing sentiments on Twitter but extremely few have been found which also consider region wise classification of the sentiment. The proposed work targets to use a novel approach which also considers region wise sentiments to give sentiment analysis a new platform. Also, recently in India there has been a drastic change due to demonetization of the economy. Our aim is to mine this data region wise and conclude whether region wise classification can give us more specific results or not.
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2016年印度地区经济废钞的情绪分析
Twitter的确是最近最受追捧的微博网站。它在表达公众意见方面发挥了很大作用。挑战在于通过提取具体结果给这种声音一个定义,以便我们能够在考虑到公众情绪的情况下走向更美好的未来。虽然有很多方法可以分析Twitter上的情绪,但很少有方法可以考虑对情绪进行区域分类。提出的工作目标是采用一种考虑区域明智情感的新方法,为情感分析提供一个新的平台。此外,最近在印度,由于经济的非货币化,发生了巨大的变化。我们的目标是对这些数据进行区域智能挖掘,并得出区域智能分类是否可以给我们更具体的结果。
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