• Annual Conference on Human and Language Technology
• /
• 2007.10a
• /
• pp.241-249
• /
• 2007

본 연구는 IT 인물 관련 텍스트 정보의 효율적인 검색을 위하여 문서 내에서 인물과 관련된 정보를 담고 있는 문장들이 어떠한 특징을 가지고 실현되는가를 살펴보고 언어적 속성을 어떻게 구조화하고 형식화할 것인가를 논의하는 것을 목적으로 한다. 언어적 속성 분석을 위해서 전자신문 내에서 인물 관련 코퍼스를 수집하고 이들의 분석을 통해 다음과 같이 문제가 되는 특징들을 확인하였다. 즉 외래어 음차 표기문제, 복합명사 및 명사구 그리고 서술 명사적 표현의 문제 등으로 요약된다. IT라는 특정 영역에 대해 텍스트 내에서의 어휘-통사적 패턴을 분석하고 언어적 특징에 대한 효율적 기술을 위해서는 LGG 부분 문법 그래프 모델을 활용하도록 한다. 본 연구는 특정 영역인 IT 관련 문서에서 자연언어 텍스트를 대상으로 정보 검색할 때 문제가 되는 다양한 언어학적 현상들을 다루며, 향후보다 확장된 영역에서의 효율적 언어 처리에 대한 방법론적 대안을 제시할 수 있을 것으로 기대된다.

• Science of Emotion and Sensibility
• /
• v.15 no.2
• /
• pp.239-248
• /
• 2012

This paper looks to extract personality traits from the drama characters within a drama script, and to apply it them to a character that has an artificial emotion. The method of applying the personality of a character from a drama script is as follows. First, we separate a drama script into several pieces, by the characters therin. Next, we extract emotion-related terms by matching morphemes analysis and by using an emotion terms database. Next, we analyze a dominant emotion using extracted emotion terms. Finally last, we apply the analyzed dominant emotion to an equation pertaining to artificial emotion. We made progress in developing user evaluation that features blind testing, to verify that the artificial emotion character bears the personality of a drama character. We apply three drama character personalities to artificial emotion characters bearing the same appearance. The user had to match three artificial emotion characters and drama characters according to personality. The users had a high percentage of correct answers, thus confirming the efficacy of our method of applying a personality, using information from a drama script.

• Journal of Internet Computing and Services
• /
• v.22 no.1
• /
• pp.51-63
• /
• 2021

Identifying characters who appear in a story and analyzing their relationships is essential to understanding the story. This paper aims to identify the two actants (or character roles) as Helper and Opponent in Greimas's Actantial model by identifying Subject (i.e., protagonist) and analyzing the emotional interactions between the Subject and the two actants (Helper/Opponent). Our proposed method consists of three steps. First, we identify objects (i.e., characters) appearing in the text story. Next, we extract relational information through the interaction of the characters, and then classify emotions in the text expressed as relational information. Finally, we represent the flow of emotional relations among characters as a directed graph. The node with the highest degree is considered as the Subject because it includes the most relational information. The node that sends the most positive/negative emotions to the Subject is considered as the Helper/Oppenent, respectively. Our research contributes to the computer-based narrative understanding by providing a computational method that automatically extracts the three key character roles (Subject, Helper, and Opponent) from the text story.

• Journal of Broadcast Engineering
• /
• v.27 no.4
• /
• pp.519-526
• /
• 2022

Identifying and searching for characters appearing in scenes during multimedia video editing is an arduous and time-consuming process. Applying artificial intelligence to labor-intensive media editing tasks can greatly reduce media production time, improving the creative process efficiency. In this paper, a method is proposed which combines existing artificial intelligence based techniques to automate character recognition and search tasks for video editing. Object detection, face detection, and pose estimation are used for character localization and face recognition and color space analysis are used to extract unique representation information.

• Proceedings of the Korea Contents Association Conference
• /
• 2011.05a
• /
• pp.317-318
• /
• 2011

영화 스토리 연출에는 감독의 의도에 의한 많은 장치가 숨겨져 있고, 그에 대한 분석이 필요하다. 본 연구는 성공적으로 제작된 영화의 연출 기법들을 분석하여 스토리 상황을 도출해 보았다. 1:1 대화 장면은 영화의 스토리를 이끄는 갈등이 많이 등장하는 장면이다. 그로 인해 인물들 간의 관계는 화면의 비대칭성으로 드러날 수 있다. 이를 근거로 다양한 연출 기법 중 배우의 위치, 클로즈업, 지시벡터를 우선적으로 분석하였다. 그 결과 갈등조장자에 대한 역할과 갈등 종류에 따른 차이점이 발견되었고. 이것은 두 인물의 갈등 상황을 표현하였다. 이에 따라 연출 기법과 인물 관계 표현의 법칙이 발견될 것이라 보고 있다.

• Journal of Internet Computing and Services
• /
• v.11 no.1
• /
• pp.85-102
• /
• 2010

In this paper, we propose a novel method of analyzing video and representing the relationship among characters based on their contexts in the video sequences, namely Character-Net. As a huge amount of video contents is generated even in a single day, the searching and summarizing technologies of the contents have also been issued. Thereby, a number of researches have been proposed related to extracting semantic information of video or scenes. Generally stories of video, such as TV serial or commercial movies, are made progress with characters. Accordingly, the relationship between the characters and their contexts should be identified to summarize video. To deal with these issues, we propose Character-Net supporting the extraction of major characters in video. We first identify characters appeared in a group of video shots and subsequently extract the speaker and listeners in the shots. Finally, the characters are represented by a form of a network with graphs presenting the relationship among them. We present empirical experiments to demonstrate Character-Net and evaluate performance of extracting major characters.

• Information Systems Review
• /
• v.25 no.3
• /
• pp.83-97
• /
• 2023

The primary purpose of this study is to examine the influencer's impacts of cryptocurrency markets. By using Elon Musk's twitter activity to compute effects of influencer's impacts in cryptocurrency markets, this study aims to analyze influencer's impacts and to offer implications for cryptocurrency markets. This study used the tweets that Elon Musk posted for the period between the April 1, 2019 to July 31, 2021 to conduct event study to evaluate influencer's impacts in cryptocurrency market. The results revealed that (1) influencer's impacts was disappearing, and (2) speculative investments was still made in the cryptocurrency market, (3) duration of the influencer's impacts was becoming short. The results indicate that objective evaluation system for cryptocurrency and sanction of bad cryptocurrencies should be needed, in order to ensure right cryptocurrency investment environment. On the other hand, the government should make policies to create the right cryptocurrency investment environment and flatform.

• Journal of Creative Information Culture
• /
• v.5 no.3
• /
• pp.192-201
• /
• 2019

This study aims to explore the different perceptions of South Koreans about creative individuals. The author collected data from the rural and urban areas of South Korea. Also, the author developed the creative traits scale and used it in investigating the different perceptions between teenagers in rural and urban areas. As a result, mainly, research participants from urban areas and young generations indicated businessmen as creative individuals and explained their creativity with creative thinking, personalities, and products. However, the majority of participants in rural areas and old generations reported politicians as creative individuals and described their creativity with social reputation and morality. There were also statistically different viewpoints about the traits of creative individuals between teenagers in rural and urban areas in a similar way.

• Journal of Korean Library and Information Science Society
• /
• v.43 no.2
• /
• pp.343-364
• /
• 2012

To examine the locality of Busan is a precondition of examining documenting localities of Busan. What is the locality of Busan and how can I explore the locality of Busan? These are the research questions of this thesis. Memory is fundamental in making an identity. So local memory is fundamental in making locality. Understanding relations between memory and identity, the author explored the locality of Busan by analyzing memories of Busan. To analyze memories of Busan is to examine historical figures of Busan and Cultural Properties of Busan which are on the website of Busan metropolitan city. The results are as follows : According to the analysis of historical figures of Busan, there are no confucius scholars who came from Busan. However in the age of civilization, Busan has produced some talented people by way of receiving a modern education. According to the analysis of Cultural Properties of Busan, Jung-gu(中區) and Seo-gu(西區) and Yeongdo-gu(影島區) are the spaces of migration. Dongnae-gu(東萊區), Suyeong-gu(水營區) and Saha-gu(沙下區) and Gijang-gun(機張郡) are the spaces of settlement. Dong-gu(東區) has changed from a space of settlement into a space of migration with the opening of the Busan Port as a momentum in 1876.

• Journal of Broadcast Engineering
• /
• v.23 no.1
• /
• pp.53-62
• /
• 2018

It is necessary to analyze the character that are a key element of the story in order to analyze the story. Current character analysis methods such as Character-net and RoleNet are not sufficient to classify the roles of supporting characters by only analyzing the results of the final accumulated stories. It is necessary to study the time series analysis method according to the story progress in order to analyze the role of supporting characters rather than the accumulated story analysis method. In this paper, we propose a method to classify helpers as a mentor and a best friend through 3-D visualization of Character-net and evaluate the accuracy of the method. WebGL is used to configure the interface for 3D visualization so that anyone can see the results on the web browser. It is also proposed that rules to distinguish mentors and best friends and evaluated their performance. The results of the evaluation of 10 characters selected for 7 films confirms that they are 90% accurate.