• Mar 05, 2019 News!Vol.11, No.1 has been published with online version.   [Click]
  • Aug 06, 2018 News!Vol.9, No.1-Vol.9, No.4 have been indexed by EI (Inspec).   [Click]
  • Dec 29, 2018 News!Vol.10, No.6 has been published with online version.   [Click]
General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2019 Vol.11(1): 11-14 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2019.V11.1232

A Study on Customers’ Sentiment Analysis Based on Big Data Using Twitter Data

Xiaorui Shao, Chang-So Kim, and Kwak Dong Ryul
Abstract—This paper focuses on mining the value of customers emotional behaviors using Twitter data. Using Apache Flume to collect tweets data from Twitter. 192,390 tweets were collected. Then the natural language processing (NLP) technology has been used to divide and filter tweets for customers’ emotional behaviors analysis. We picked five main hot topics among these tweets. Choose one of the hot topics HUAWEI honors 9 for sentiment analysis (SA). Compared with Native Bayes, Maximum Entropy Classifier. Decision Tree Classifier is the most effective classification method for our data sets. According to our experiment, the result shows that 45% of customers are satisfied with HUAWEI honors 9, but there is still having 36% of customers unsatisfied with it. Specifically, in the field of battery, game and stand-by power consumption, it needs a great of an improvement.

Index Terms—Customers’ emotional behavior, twitter, big data, sentiment analysis.

Xiaorui Shao is with Information collaboration Engineering department, Pukyong national university, Korea(e-mail: sxrpknu@qq.com). Chang-Soo Kim is with the IT convergence and application engineering Department of Pukyong national university, Korea (e-mail:cskim@pknu.ac.kr). Kwak Dong Ryul is with PKNU Department of IT Convergence and Application Engineering (e-mail:destroy247@naver.com).

[PDF]

Cite:Xiaorui Shao, Chang-So Kim, and Kwak Dong Ryul, "A Study on Customers’ Sentiment Analysis Based on Big Data Using Twitter Data," International Journal of Computer Theory and Engineering vol. 11, no. 1, pp. 11-14, 2019.

Copyright © 2008-2019. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@iacsitp.com