A Methodology for Analyzing Public Opinion about Science and Technology Issues Using Text Analysis

Abstract

Submitted：July 26, 2015 1 st Revision：September 1, 2015 Accepted：September 4, 2015 * 국민대학교 비즈니스IT전문대학원 ** 국민대학교 경영정보학부 부교수, 교신저자 *** 실전전략연구소 Recently, many users frequently share their opinions on diverse issues using various social media. Therefore, many governments have attempted to establish or improve national policies according to the public opinions captured from the various social media. In this paper, we indicate several limitations of traditional approaches for analyzing public opinions about science and technology and provide an alternative methodology to overcome the limitations. First of all, we distinguish science and technology analysis phase and social issue analysis phase to reflect the fact that public opinion can be formed only when a certain science and technology is applied to a specific social issue. Next, we apply a start list and a stop list successively to acquire clarified and interesting results. Finally, to identify most appropriate documents fitting to a given subject, we develop a new concept of logical filter that consists of not only mere keywords but also a logical relationship among keywords. This study then analyzes the possibilities for the practical use of the proposed methodology thorough its application to discovering core issues and public opinions from 1,700,886 documents comprising SNS, blog, news, and discussion.

Detecting Spam Data for Securing the Reliability of Text Analysis

“…차원 축소 방법이 널리 활용된다 [19] . [26] , 과학기술 이슈에 대한 여론 분석 [27] , 이슈의 동적 변이 과정 [28] 등에 대한 연구가 활발히 이루어지고 있다. 일 필터링 연구 [29,30] , SVM과 유의어 사전(Thesaurus Dictionary)의 결합을 통한 스팸 이메일 검출 연구 [31] ,…”