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WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity
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Yeongeun Song (School of Management, Kyung Hee University)
Suhyun Nam (School of Management, Kyung Hee University)
Ohbyung Kwon (School of Management, Kyung Hee University)
Vol. 22, No. 3, Page: 1 ~ 21
http://dx.doi.org/10.13088/jiis.2016.22.3.001
Keywords
Subjective Well-Being; Sentiment Analysis; Contextual Polarity; Unstructured Data; SenticNet
Abstract
IT-based subjective well-being (SWB) services, a main part of wellness IT, should measure the SWB state of individuals in an unrestrained, cost-effective manner. The dictionaries for sentiment analysis available in the market may be useful for this purpose, but obtaining proper sentiment values using only words from the sentiment lexicon is impossible; therefore, a new dictionary including wellness vocabulary is needed. The existing sentiment dictionaries link only a single sentiment value to a single sentiment word, although sentiment values may vary
depending on personal traits. In this study, we develop an extended version of the SenticNet sentiment dictionary dubbed WellnessWordNet. SenticNet is considered the best and most expressive among the already existing sentiment dictionaries. Using the information provided by SenticNet, we created a database including the wellness states (estimated values) of stress, depression, and anger to develop the WellnessWordNet system. The accuracy of the system was validated through actual tests with live subjects. This study is unique and unprecedented in that i) an extended sentiment dictionary, WellnessWordNet, is developed; ii) values for wellness state language are offered; and iii) different sentiment values, namely contextual polarity, for people of the same gender or age group are
suggested.
Show/Hide Detailed Information in Korean
웰니스워드넷: 비정형데이터와 상황적 긍부정성에 기반하여 주관적 웰빙 상태를 무구속적으로 모니터링하기 위한 워드넷 개발
송영은 (경희대학교)
남수현 (경희대학교)
권오병 (경희대학교)
Keywords
주관적 웰빙; 감성분석; 상황적 긍부정성; 비정형데이터; 센틱넷
Abstract
주관적 웰빙 서비스(subjective well-being service)는 Wellness IT의 주요 서비스이며 개인의 주관적 웰빙 상태를 무구속적이고 비용 효율적으로 측정하는 방법이 중요하다. 이를 위해 감성어휘사전을 활
용할 수 있으나 감성어만으로 주관적 웰빙 상태를 측정할 수는 없으며 웰니스 어휘 사전이 별도로 구축될 필요가 있다. 더욱이 기존의 감성어휘사전은 동일한 감정어에 대해 한가지만의 감성값을 제공함
으로써 그 용어를 사용한 사람의 특징에 따라 감성값이 변경될 수 있다는 점을 간과하고 있다. 따라서 본 연구의 목적은 현존하는 감성어휘사전 중에서 표현력이 가장 뛰어난 SenticNet을 기반으로 하여
SenticNet에서 제공하는 정보를 통해 스트레스, 우울, 분노, 행복감 등 웰니스 상태를 추정한 결과를 추가한 WellnessWordNet 을 개발하는 것이다. 또한 실제 사람들을 대상으로 WellnessWordNet 에 근거
한 웰니스 상태 추정 정확도를 검증해 보았다. 본 논문의 독창성은 WellnessWordNet 웰니스 상태 언어에 대한 값을 제공할 뿐더러, 성별이나 연령과 같은 사람의 특성에 따라 다른 감성값을 제공하는 최초
의 감성어휘사전이라는 것이다.
Cite this article
JIIS Style
Song, Y., S. Nam, and O. Kwon, "WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity", Journal of Intelligence and Information Systems, Vol. 22, No. 3 (2016), 1~21.

IEEE Style
Yeongeun Song, Suhyun Nam, and Ohbyung Kwon, "WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity", Journal of Intelligence and Information Systems, vol. 22, no. 3, pp. 1~21, 2016.

ACM Style
Song, Y., Nam, S., and Kwon, O., 2016. WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity. Journal of Intelligence and Information Systems. 22, 3, 1--21.
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@article{Song:JIIS:2016:653,
author = {Song, Yeongeun and Nam, Suhyun and Kwon, Ohbyung},
title = {WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity},
journal = {Journal of Intelligence and Information Systems},
issue_date = {September 2016},
volume = {22},
number = {3},
month = Sep,
year = {2016},
issn = {2288-4866},
pages = {1--21},
url = {http://dx.doi.org/http://dx.doi.org/10.13088/jiis.2016.22.3.001 },
doi = {http://dx.doi.org/10.13088/jiis.2016.22.3.001},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Subjective Well-Being; Sentiment Analysis; Contextual Polarity; Unstructured Data; SenticNet },
}
%0 Journal Article
%1 653
%A Yeongeun Song
%A Suhyun Nam
%A Ohbyung Kwon
%T WellnessWordNet: A Word Net for Unconstrained Subjective Well-Being Monitor ing Based on Unstructured Data and Contextual Polarity
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 22
%N 3
%P 1-21
%D 2016
%R http://dx.doi.org/10.13088/jiis.2016.22.3.001
%I Korea Intelligent Information System Society