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A Data Mining Approach for Sentiment Analysis of Indian Currency Demonetization

机译:一种数据挖掘分析印度货币杂志

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Demonetization is big step initiated by Government of India that is withdrawal of the particular currency from circulation and replacing it with a new currency. In the period of demonetization, people used debit cards, credit cards, mobile wallet, and net banking for their day-to-day need. Many people across the world posted their opinions in all social media. With this, large amount of data is gathered about demonetization. In this paper, sentiment analysis is performed to discover how people feel about a demonetization. Twitter tweets of 11843 people were collected, and data mining was conducted to understand the real sentiment of the people of India during the demonetization period using naive Bayes classifier algorithm. The results of analysis were very convincing and strong that the people had a positive sentiment toward the Indian currency demonetization.
机译:Semaletization是印度政府发起的大步,该阶段是从流通的撤离并用新货币取代特定货币。在恶魔期间,人们使用借记卡,信用卡,移动钱包和净银行的日常需求。世界各地的许多人都在所有社交媒体中发布了他们的意见。由此,大量数据被聚集了关于恶魔化。在本文中,进行了情绪分析,以了解人们对恶魔化的感受。收集了11843人的Twitter推文,并进行了数据挖掘,以了解使用Naive Bayes分类器算法在恶魔化期间识别印度人民的真实情绪。分析结果非常令人信服,而且人们对印度货币的发展有积极的情绪。

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