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http://dx.doi.org/10.12815/kits.2017.16.6.141

Study on the Methodology for Extracting Information from SNS Using a Sentiment Analysis  

Hong, Doopyo (Korea Expressway Corporation Gwangju Jeonnam Regional Headquarters)
Jeong, Harim (Dept. of Civil and Transportation Eng., Ajou University)
Park, Sangmin (Dept. of Civil and Transportation Eng., Ajou University)
Han, Eum (Traffic Science Institute, Korea Road Traffic Authority)
Kim, Honghoi (Ilmile Corp.)
Yun, Ilsoo (Dept. of Transportation System Eng., Ajou University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.6, 2017 , pp. 141-155 More about this Journal
Abstract
As the use of SNS becomes more active, many people are posting their thoughts about specific events in their SNS in the form of text. As a result, SNS is used in various fields such as finance and distribution to conduct service satisfaction surveys and consumer monitoring. However, in the transportation area, there are not enough cases to utilize unstructured data analysis such as emotional analysis. In this study, we developed an emotional analysis methodology that can be used in transportation by using highway VOC data, which is atypical data collected by Korea Expressway Corporation. The developed methodology consists of morpheme analysis, emotional dictionary construction, and emotional discrimination of the collected unstructured data. The developed methodology was verified using highway related tweet data. As a result of the analysis, it can be guessed that many information and information about the construction and the accident were related to the highway during the analysis period. Also, it seems that users complain about the delay caused by construction and accident.
Keywords
sentiment analysis; voice of customer; social network service; twitter;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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