Title: Performance testing in lexical analysis on latest Twitter trends for enterprise network using PIG

Authors: R. Kannadasan

Addresses: School of Computer Science and Engineering, VIT University, Tamilnadu 632014, India

Abstract: Twitter usage is outgrowing each day and so is the ever changing trend. The data flow keeps on increasing each day through tweets and thus analysis on the latest trends are done by using most widely used framework for processing large datasets-Apache Hadoop. This paper presents an overview of Twitter Trend analysis using Apache PIG in Hadoop framework and its performance will be tested using lexical analysis. Hadoop is preferred over other frameworks due to its robustness, scalability, cost effectiveness and high speed which makes parallel processing over distributed network easy. The paper also shows results obtained through lexical analysis done on the Hadoop cluster to show the efficiency of the program.

Keywords: bandwidth light emitting diode; light fidelity; visible light communication; wireless fidelity.

DOI: 10.1504/IJENM.2022.122405

International Journal of Enterprise Network Management, 2022 Vol.13 No.1, pp.57 - 65

Received: 30 Apr 2019
Accepted: 29 Nov 2019

Published online: 25 Apr 2022 *

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