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A Study of Big Data Processing for Sentiments Analysis

A Study of Big Data Processing for Sentiments Analysis
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Author(s): Dinesh Chander (Panipat Institute of Engineering and Technology, India), Hari Singh (Jaypee University of Information Technology, India) and Abhinav Kirti Gupta (Jaypee University of Information Technology, India)
Copyright: 2022
Pages: 30
Source title: Research Anthology on Big Data Analytics, Architectures, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3662-2.ch056

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Abstract

Data processing has become an important field in today's big data-dominated world. The data has been generating at a tremendous pace from different sources. There has been a change in the nature of data from batch-data to streaming-data, and consequently, data processing methodologies have also changed. Traditional SQL is no longer capable of dealing with this big data. This chapter describes the nature of data and various tools, techniques, and technologies to handle this big data. The chapter also describes the need of shifting big data on to cloud and the challenges in big data processing in the cloud, the migration from data processing to data analytics, tools used in data analytics, and the issues and challenges in data processing and analytics. Then the chapter touches an important application area of streaming data, sentiment analysis, and tries to explore it through some test case demonstrations and results.

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