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Survey Paper: Sentiment Analysis for Major Government Decisions

机译:调查文件:政府主要决策的情感分析

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On internet, there are plenty of social networking sites on which people express their perception regarding a topic every day which can be helpful for sentiment analysis. In this paper, we have discussed the general procedures in sentiment analysis and how we are going to use python and its libraries for performing sentiment analysis on data retrieved from twitter’s website so we can get the view of what public thinks of last ten government decisions like Demonetization, Goods and Service Tax (GST), Bharat Interface for Money (BHIM), Citizen Amendment Act (CAA).
机译:在Internet上,有很多社交网站,人们每天在这些社交网站上表达对某个主题的看法,这可能有助于进行情绪分析。在本文中,我们讨论了情绪分析的一般程序,以及我们将如何使用python及其库对从Twitter的网站上获取的数据进行情绪分析,以便我们可以了解公众对最近十项政府决策的看法,例如非货币化,商品和服务税(GST),巴拉特货币接口(BHIM),《公民修正法》(CAA)。

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