Apache Hadoop based effective sentiment analysis on demonetization and covid-19 tweets

Global Transitions Proceedings Pub Date : 2022-06-01 Epub Date: 2022-04-03 DOI:10.1016/j.gltp.2022.03.021
S. Anitha , Mary Metilda
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引用次数: 6

Abstract

In Recent, Twitter is the well-known public Network acquires a huge number of tweets. Sentiment analysis in twitter data are tremendously valuable in social media observing as it allows getting an overview of extensive global opinion in certain issue. This data are utilized for industrial, government, social and economic approaches by analyzing the tweets as per the requirement of the user. Processing and storing these data are more complicated to analyze. Hadoop is a distributed environment which process with Big and Huge variety of dataset which supports processing components that collectively called Hadoop Ecosystem. In this paper, regular tweets are analyzed by sentiment analysis technique in Hadoop Eco system. Dataset are taken from Kaggle data repository. This research has done by Apache Pig in Demonetization and Covid 19 twitter dataset.

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基于Apache Hadoop的去货币化和Covid-19推文的有效情绪分析
近年来,Twitter作为知名的公共网络获得了大量的推文。twitter数据中的情感分析在社交媒体观察中是非常有价值的,因为它可以让我们对某些问题有一个广泛的全球观点的概述。这些数据被用于工业、政府、社会和经济方法,通过分析推特根据用户的要求。处理和存储这些数据的分析更加复杂。Hadoop是一个分布式环境,它处理大量的数据集,这些数据集支持处理组件,统称为Hadoop生态系统。本文采用情感分析技术对Hadoop生态系统中的常规推文进行分析。数据集取自Kaggle数据存储库。这项研究是由Apache Pig在Demonetization和Covid - 19 twitter数据集中完成的。
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