• Journal of Internet Computing and Services
• /
• v.16 no.2
• /
• pp.41-48
• /
• 2015

On movie review sites, movie ratings are determined by netizens' subjective judgement. This means that inconsistency between ratings and opinions from netizens often occurs. To solve this problem, this paper proposes sentiment sentence sets which affect movie evaluation, and apply sets to comments to infer ratings. Creation of sentiment sentence sets is consisted of two stages, construction of sentiment word dictionary and creation of sentiment sentences for sentiment estimation. Sentiment word dictionary contains sentimental words and its polarities included in reviews. Elements of sentiment sentences are combined with movie related noun and predicate from words sentiment word dictionary. In this study, to make correspondence between polarity of sentiment sentence and sentiment word dictionary, sentiment sentences which have different polarity with sentiment word dictionary are removed. The scores of comments are calculated by applying averages of sentiment sentences elements. The result of experiment shows that sentence scores from sentiment sentence sets are closer to reflect real opinion of comments than ratings by netizens'.

• Science of Emotion and Sensibility
• /
• v.13 no.3
• /
• pp.501-510
• /
• 2010

The knowledge base on emotional information is one of the key elements in the implementation of emotion retrieval systems for contents design of Mobile devices. This study proposed a new approach to the knowledge base implementation by automatically extracting color components from full-color images. In this study, the validity of the proposed method was empirically tested. Database was developed using 100 interior images as visual stimuli and a total of 48 subjects participated in the experiment. In order to test the reliability of the proposed 'emotional information knowledge base', firstly 'recall ratio' that refers to frequencies of correct images from the retrieved images was derived. Secondly, correlation Analysis was performed to compare the ratings by the subjects to what the system calculated. Finally, the rating comparison was used to run a paired-sample t-test. The analysis demonstrated satisfactory recall ration of 62.1%. Also, a significant positive correlation (p<.01) was observed from all the emotion keywords. The paired Sample t-test found that all the emotion keywords except "casual" retrieved the images in the order from more relevant to less relevant images and the difference was statistically significant (t(9)=5.528, p<.05). Findings of this study support that the proposed 'emotional information knowledge base' established only with color information automatically extracted from images can be effectively used for such visual stimuli search tasks as commercial interior images.

• Archives of design research
• /
• v.14 no.4
• /
• pp.5-14
• /
• 2001

Among Human Sensibility-oriented products a gap between the images that designers try to express through that product and users emotional evaluation becomes an issue. The data on the correlation between image words used for design evaluation and images used in the design process are especially significant. This study based on these correlations suggests a Fuzzy retrieval system supporting styling design with images and image words. In the system, the relational data are demonstrated by Fuzzy thesaurus as correlation coefficient from the degree of similarity among image words. And the degree of similarity is produced based on image evaluation. Image retrieval is conducted by the algorithm of Fuzzy thesaurus development, 1) among image words, 2) images to image words, 3) image words to images and 4) among images: 4 different modes are provided as retrieval modes. Also transfer between modes is carried by direct operating interface, therefore divergent thinking and convergent thinking is supported well. The system consists of operation for the gap and the measurement unit of emotional evaluation, and visualization units. Under unified interface environments are set in order for consistency of the operation.

• Science of Emotion and Sensibility
• /
• v.15 no.4
• /
• pp.425-440
• /
• 2012

As the scale of the internet grows, the amount of subjective data increases. Thus, A need to classify automatically subjective data arises. Sentiment classification is a classification of subjective data by various types of sentiments. The sentiment classification researches have been studied focused on NLP(Natural Language Processing) and sentiment word dictionary. The former sentiment classification researches have two critical problems. First, the performance of morpheme analysis in NLP have fallen short of expectations. Second, it is not easy to choose sentiment words and determine how much a word has a sentiment. To solve these problems, this paper suggests a combination of using web-scale data and a statistical approach to sentiment classification. The proposed method of this paper is using statistics of words from web-scale data, rather than finding a meaning of a word. This approach differs from the former researches depended on NLP algorithms, it focuses on data. Hadoop and MapReduce will be used to handle web-scale data.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.04a
• /
• pp.948-951
• /
• 2014

본 논문에서는 개미 군집 최적화 알고리즘과 센티워드넷(SentiWordNet)을 이용한 감성 분석 방법을 제안한다. 먼저, 데이터 수집 단계에서는 소설 웹(예: 페이스북)으로부터 주어 (subject), 서술어(predicate), 목적어(object)의 3 개의 요소로 구성된 RDF (Resource Description Framework)의 형태로 데이터를 수집한다. 그리고 개미 군집 최적화 알고리즘을 이용하여 수집된 RDF 튜플(tuple)을 수치화한 후, 사용자의 감성에 대하여 제안한 수식을 이용하여 페르몬(pheromone)을 계산한다. 센티워드넷을 통하여 얻은 감성 지수를 반영하여 이전 단계에서 계산된 여러 개의 페르몬 값에 대한 전체 감성 지수를 계산한다. 제안한 방법의 타당성 검증을 위하여 전체 감성 지수를 바탕으로 계산된 사용자의 감성 동향이 적절하게 분석됨을 사용자의 실제 생활과의 비교를 통하여 보인다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2002.11a
• /
• pp.53-58
• /
• 2002

본 논문은 감성공학 데이터의 지속적인 지표화를 위해 과정의 자동화를 제안하며 자동 지표화가 문서의 자동 요약과 유사하다는 점에 착안하여 문서 자동분류, 정보유형 추출, 특성언어 추출 및 문장 재구성이라는 단계별 기술의 기초가 되는 정보유형 및 핵심어, 그리고 특성표현을 통한 정보문 추출 방법에 대해 연구하였다. 감성공학 코퍼스 분석을 통한 본 연구는 감성공학 분야에서의 지식 관리 시스템과 자동 요약 시스템에 활용될 수 있다.

• Journal of Internet Computing and Services
• /
• v.13 no.3
• /
• pp.107-114
• /
• 2012

In this paper, we proposed an automatic monitoring system for contact center in order to manage customer's complaint and agent's quality. The proposed system allows more accurate monitoring using emotion recognition and keyword spotting method for neutral/anger voice emotion. The system can provide professional consultation and management for the customer with language violence, such as abuse and sexual harassment. We developed a method of building robust algorithm on heterogeneous speech DB of many unspecified customers. Experimental results confirm the stable and improved performance using real contact center speech data.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.573-575
• /
• 2019

현존하는 음악 추천형 챗봇들은 사용자의 의도가 아닌 챗봇 임의의 분류기준을 가지고 음악을 추천해왔다. 하지만 이러한 음악 추천은 공급자의 의도에 제한되어있는 단면적인 추천이 될 가능성이 높다. 이를 개선하고자 본 논문에서는 자연어를 처리하는 기법(NLP)의 처리를 통해 추출한 단어를 자연어 이해 기법(NLU)으로 특정 감성어 데이터를 마이닝하는 방법을 채용한다. 이를 통해 추출된 감성어를 원하는 쿼리에 따라 매핑된 음악데이터만을 추출한다. 이를 통해 닫힌 대화 구조에서의 사용자 의도 해석의 한계를 극복한다.

• Science of Emotion and Sensibility
• /
• v.15 no.1
• /
• pp.29-36
• /
• 2012

This study aims to analyse the research trend of the participants in Emotional Science in Korea and to suggest a desirable direction of research. I analysed the 1,262 articles published in Korean Journal of the Science of Emotion and Sensibility from 2000 to 2011 according to fields of study and keywords. The findings from the study are as follows. In the fields of study regarding Clothing Design, Psychology, Medicine, Visual Media, Brain Science they are still the top rated categories amongst participants. With the participation of Industrial Engineering and Ergonomics they have shown a meaningful difference depending on governmental support such as G7 Project. The problem with Industrial Design is that the majority of studies have been performed alone, and they have many keywords which are not related with Emotional Science. However, 31 new fields of study have been added to the research making the findings more desirable considering that Emotional Science is typical interdisciplinary filed of study. I hope that this study will provide basic data which can be used to promote the interdisciplinary research between the different fields of study in order to generate significant synergy.

• Review of Korea Contents Association
• /
• v.9 no.1
• /
• pp.30-35
• /
• 2011