Sentimental Analysis On Social Feeds to Predict the Elections

Neha Gigi, AmanPreet Kaur
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引用次数: 1

Abstract

Information mining is an assignment which is utilized to discover the concealed example or data to break down any subject. These days a ton of research is going on web mining i.e. to mine the web assets to discover the example or shrouded data. In our research the main aim is to perform the text mining over the real time data to predict the result of election that which party will win the state or national election held in India. In our work we get the data from twitter where the citizens of India give the opinion about the political parties and the analysis of these sentiments is done to conclude the result.
对社交信息进行情感分析以预测选举
信息挖掘是一种通过发现隐藏的实例或数据来分解任何主题的任务。这些天,大量的研究都在进行网络挖掘,即挖掘网络资产以发现示例或隐藏数据。在我们的研究中,主要目的是对实时数据进行文本挖掘,以预测哪一方将赢得印度举行的州或全国选举的选举结果。在我们的工作中,我们从推特上获得数据,印度公民在推特上发表对政党的看法,并对这些情绪进行分析以得出结果。
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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