[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.08.039

Social Big Data Analysis for Franchise Stores

Kim, Hyeon Gyu (Div. of Computer Science and Engineering, Sahmyook University)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.8, 2021 , pp. 39-46 More about this Journal

Abstract

When conducting social big data analysis for franchise stores, reviews of multiple branches of a franchise can be collected together, from which analysis results can be distorted significantly. To improve its accuracy, it should be possible to filter reviews of other branches properly which are not subject to the analysis. This paper presents a method for social big data analysis which reflects characteristics of franchise stores. The proposed method consists of search key configuration and review filtering. For the former, the open data provided by Small Business Promotion Agency is used to extract region names for collecting reviews more accurately. For the latter, open search APIs provided by Naver or Kakao are used to obtain franchise branch information for filtering reviews of other branches that are not subject to analysis. To verify performance of the proposed method, experiments were conducted based on real social reviews collected from online, where the results showed that the accuracy of the proposed review filtering was 93.6% on the average.

Keywords

Big data analysis; Social reviews; Franchise analysis; Open data; Review filtering;

Citations & Related Records

Reference

1	O. J. Lee, S. B. Park, D. Chung, and E. S. You, "Movie Box-Office Analysis Using Social Big Data," Journal of the Korea Contents Society, Vol. 14, No. 10, pp. 527-538, 2014.
2	C. Park and C. Lee, "Korean Movie Review Sentimental Analysis using RNN-based Variational Inference," Proceedings of the 2018 Korea Software Congress, pp. 587-589, December 2018.
3	Y. Oh, M. Kim, and W. Kim, "Korean Movie Review Sentiment analysis Using Parallel Stacked Bidirectional LSTM Model," Proceedings of the 2018 Korea Computer Congress, pp. 823-825, June 2018.
4	R. Socher, A. Perelygin, J. Wu, J. Chuang, C. D. Manning, A. Ng, and C. Potts, "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank," Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1631-1642, Seattle, Washington, USA, October 2013.
5	H. G. Kim, "Efficient Keyword Extraction from Social Big Data Based on Cohesion Scoring," Journal of the Korea Society of Computer and Information, Vol. 25, No. 10, pp. 87-94, Oct. 2020. DOI
6	Y. W. Yu and H. G. Kim, "Interactive Morphological Analysis to Improve Accuracy of Keyword Extraction Based on Cohesion Scoring," Journal of the Korea Society of Computer and Information, Vol. 25, No. 12, pp. 145-153, Dec. 2020. DOI
7	Z. Jin and K Tanaka-Ishii, "Unsupervised Segmentatino of Chinese Text by Use of Branching Entropy," The Journal of Korea Navigation Institute, pp. 428-435, Jul. 2006.
8	K. S. Tai, R. Socher, and C. D. Manning, "Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks," Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (IJCNLP), pp. 1556-1566, Beijing, China, July 2015.
9	A. Mousa and B. Schuller, "Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis," Proceedings of the 15 th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp. 1023-1032, Valencia, Spain, April 2017.
10	H. J. Kim and S. J. Cho, "Cleansing Noisy Text Using Corpus Extraction and String Match," MS. Thesis, Seoul National University, 2013.
11	Hannanum, http://semanticweb.kaist.ac.kr/hannanum/index.html
12	M. Kim, S. Hong, and I. H. Suh, "Convolutional Neural Network Based Filtering-Scoring System for Rating Prediction of Travel Attractions using Social Media," Journal of the Institute of Electronics and Information Engineers, Vol. 56, No. 9, pp. 891-897, Sep. 2019.
13	J. Yeon, J. Myung, J. Shim, and S. Lee, "Characteristic Set and Collaborative Filtering for Review Selection," Proceedings of the 2012 Korea Computer Congress, pp. 43-45, 2012.
14	Kokoma, http://kkma.snu.ac.kr/documents/index.jsp
15	JQCloud, https://mistic100.github.io/jQCloud/
16	Small Business Promotion Agency, https://www.semas.or.kr
17	Google Developer API, https://developers.google.com/
18	H. G. Kim, "Developing a Big Data Analysis Platform for Small and Medium-Sized Enterprises," Journal of the Korea Society of Computer and Information, Vol. 25, No. 8, pp. 65-72, Aug. 2020. DOI
19	W. L. Kang, H. G. Kim, and Y, J. Lee, "Reducing IO Cost in OLAP Query Processing with MapReduce," IEICE Trans. Inf. & Syst, Vol. E98-D, No. 2, pp. 444-447, Feb. 2015. DOI
20	Naver Open API, https://developers.naver.com/docs/common/openapiguide/
21	H. G. Seo and H. W. Park, "Design and Implementation of Potential Advertisement Keyword Extraction System Using SNS," Journal of the Korea Convergence Society, Vol. 9, No. 7, pp. 14-24, 2018.
22	E. Kim, "The Unsupervised Learning-based Language Modeling of Word Comprehension in Korean," Journal of the Korea Society of Computer and Information, Vol. 24, No. 11, pp. 41-49, Nov. 2019.
23	C. Lee, D. Choi, S. Kim, and J. Kang, "Classification and Analysis of Emotion in Korean Microblog Texts," Journal of KIISE, Vol. 40, No. 3, pp. 159-167, Jun. 2013.
24	J. Y. Chang, "A Sentiment Analysis Algorithm for Automatic Product Reviews Classification in Online Shop ping Mall," Vol. 14, No. 4, pp. 19-32, 2009.