• Title/Summary/Keyword: Sentiment Analysis

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A Study on Lyricism Expression of Color & Realistic Expression reflected in Oriental Painting of flower & birds (전통화조화의 사실적(寫實的) 표현과 시정적(詩情的) 색채표현)

  • Ha, Yeon-Su
    • Journal of Science of Art and Design
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    • v.10
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    • pp.183-218
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    • 2006
  • Colors change in time corresponding with the value system and aesthetic consciousness of the time. The roles that colors play in painting can be divided into the formative role based on the contrast and harmony of color planes and the aesthetic role expressed by colors to represent the objects. The aesthetic consciousness of the orient starts with the Civility(禮) and Pleasure(樂), which is closely related with restrained or tempered human feelings. In the art world of the orient including poem, painting, and music, what are seen and felt from the objects are not represented in all. Added by the sentiment laid background, the beauty of the orient emphasizes the beauty of restraint and temperance, which has long been the essential aesthetic emotion of the orient. From the very inception of oriental painting, colors had become a symbolic system in which the five colors associated with the philosophy of Yin and Yang and Five Forces were symbolically connected with the four sacred animals of Red Peacock, Black Turtle, Blue Dragon, and White Tiger. In this color system the use of colors was not free from ideological matters, and was further constrained by the limited color production and distribution. Therefore, development in color expression seemed to have been very much limited because of the unavailability and unreadiness of various colors. Studies into the flow in oriental painting show that color expression in oriental painting have changed from symbolic color expression to poetic expression, and then to emotional color expression as the mode of painting changes in time. As oriental painting transformed from the art of religious or ceremonial purpose to one of appreciation, the mast visible change in color expression is the one of realism(simulation). Rooted on the naturalistic color expression of the orient where the fundamental properties of objects were considered mast critical, this realistic color expression depicts the genuine color properties that the objects posses, with many examples in the Flower & Bird Painting prior to the North Sung dynasty. This realistic expression of colors changed as poetic sentiments were fused with painting in later years of the North Sung dynasty, in which a conversion to light ink and light coloring in the use of ink and colors was witnessed, and subjective emotion was intervened and represented. This mode of color expression had established as free and creative coloring with vivid expression of individuality. The fusion of coloring and lyricism was borrowed from the trend in painting after the North Sung dynasty which was mentioned earlier, and from the trend in which painting was fused with poetic sentiments to express the emotion of artists, accompanied with such features as light coloring and compositional change. Here, the lyricism refers to the artist's subjective perspective of the world and expression of it in refined words with certain rhythm, the essence of which is the integration of the artist's ego and the world. The poetic ego projects the emotion and sentiment toward the external objects or assimilates them in order to express the emotion and sentiment of one's own ego in depth and most efficiently. This is closely related with the rationale behind the long-standing tradition of continuous representation of same objects in oriental painting from ancient times to contemporary days. According to the thoughts of the orient, nature was not just an object of expression, but recognized as a personified body, to which the artist projects his or her emotions. The result is the rebirth of meaning in painting, completely different from what the same objects previously represented. This process helps achieve the integration and unity between the objects and the ego. Therefore, this paper discussed the lyrical expression of colors in the works of the author, drawing upon the poetic expression method reflected in the traditional Flower and Bird Painting, one of the painting modes mainly depending on color expression. Based on the related discussion and analysis, it was possible to identify the deep thoughts and the distinctive expression methods of the orient and to address the significance to prioritize the issue of transmission and development of these precious traditions, which will constitute the main identity of the author's future work.

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Positioning of Smart Speakers by Applying Text Mining to Consumer Reviews: Focusing on Artificial Intelligence Factors (텍스트 마이닝을 활용한 스마트 스피커 제품의 포지셔닝: 인공지능 속성을 중심으로)

  • Lee, Jung Hyeon;Seon, Hyung Joo;Lee, Hong Joo
    • Knowledge Management Research
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    • v.21 no.1
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    • pp.197-210
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    • 2020
  • The smart speaker includes an AI assistant function in the existing portable speaker, which enables a person to give various commands using a voice and provides various offline services associated with control of a connected device. The speed of domestic distribution is also increasing, and the functions and linked services available through smart speakers are expanding to shopping and food orders. Through text mining-based customer review analysis, there have been many proposals for identifying the impact on customer attitudes, sentiment analysis, and product evaluation of product functions and attributes. Emotional investigation has been performed by extracting words corresponding to characteristics or features from product reviews and analyzing the impact on assessment. After obtaining the topic from the review, the effect on the evaluation was analyzed. And the market competition of similar products was visualized. Also, a study was conducted to analyze the reviews of smart speaker users through text mining and to identify the main attributes, emotional sensitivity analysis, and the effects of artificial intelligence attributes on product satisfaction. The purpose of this study is to collect blog posts about the user's experiences of smart speakers released in Korea and to analyze the attitudes of customers according to their attributes. Through this, customers' attitudes can be identified and visualized by each smart speaker product, and the positioning map of the product was derived based on customer recognition of smart speaker products by collecting the information identified by each property.

Study on the social issue sentiment classification using text mining (텍스트마이닝을 이용한 사회 이슈 찬반 분류에 관한 연구)

  • Kang, Sun-A;Kim, Yoo Sin;Choi, Sang Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.5
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    • pp.1167-1173
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    • 2015
  • The development of information and communication technology like SNS, blogs, and bulletin boards, was provided a variety of places where you can express your thoughts and comments and allowing Big Data to grow, many people reveal the opinion of the social issues in SNS such as Twitter. In this study, we would like to pre-built sentimental dictionary about social issues and conduct a sentimental analysis with structured dictionary, to gather opinions on social issues that are created on twitter. The data that I used is "bikini", "nakkomsu" including tweet. As the result of analysis, precision is 61% and F1- score is 74%. This study expect to suggest the standard of dictionary construction allowing you to classify positive/negative opinion on specific social issues.

Study on Characteristics and User Reactions of Videos Related to COVID-19 Vaccine (코로나19 백신 관련 영상의 특성 및 이용자 반응에 대한 연구)

  • Lee, Mina;Hong, Juhyun
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.163-171
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    • 2021
  • This study aimed to investigate the main characteristics of the COVID-19 vaccine-related videos spread on YouTube and differences in user responses in the infodemic situation caused by COVID-19. As a result of content analysis of 579 videos related to the COVID-19 vaccine, it was found that all of the false information was written by individual channels. Institutions, organizations, media companies, and government channels reported spread of false information as well as fact-oriented reporting. The progressive channel had a high percentage of positive sentiment in favor of vaccination, and the conservative channel had a high percentage of negative emotion against vaccination. After the vaccination started, the number of videos on government channels increased, and it was found that the number of videos with positive emotions increased. Results of regression analysis of video characteristics that affect the number of likes indicated that personal expert videos and videos from progressive channels received more likes. Combining the research results, we propose a plan to promote government policies regarding the COVID-19 vaccine using social media.

User Experience Factors in Connected Car Infotainment Applications : Focusing on Text Mining Analysis in the Android Auto Reviews (커넥티드카 인포테인먼트 애플리케이션의 사용자 경험 요인 : 안드로이드 오토 리뷰의 텍스트마이닝 분석을 중심으로)

  • Jung Yong Kim;Su-Eun Bae;Junho Choi
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.4
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    • pp.211-225
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    • 2023
  • In the future, infotainment systems are expected to play a pivotal role in mobility ecosystems connecting users and vehicles. This study draws user-experience factors from reviews of Android Auto, a car infotainment application, and analyzes factors that affect satisfaction. The user-experience factors of infotainment have been redefined based on previous studies. To analyze actual user-experience factors, topics are obtained, applied, and interpreted from user discourse through topic modeling. Sentiment analysis and logistic regression are used to determine positive and negative user-experience factors that affect satisfaction. Results of the empirical analysis show that Ease of Use and Understandability are factors that have the greatest impact on satisfaction, and Flexibility, Safety, and Playfulness are factors that have the most critical effect on dissatisfaction. Therefore, this paper suggests ways to improve the satisfaction level of the infotainment system, and establishes a strategy accordingly.

Text Mining Analysis of Customer Reviews on Public Service Robots: With a focus on the Guide Robot Cases (텍스트 마이닝을 활용한 공공기관 서비스 로봇에 대한 사용자 리뷰 분석 : 안내로봇 사례를 중심으로)

  • Hyorim Shin;Junho Choi;Changhoon Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.787-797
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    • 2023
  • The use of service robots, particularly guide robots, is becoming increasingly prevalent in public institutions. However, there has been limited research into the interactions between users and guide robots. To explore the customer experience with the guidance robot, we selected 'QI', which has been meeting customers for the longest time, and collected all reviews since the service was launched in public institutions. By using text mining techniques, we identified the main keywords and user experience factors and examined factors that hinder user experience. As a result, the guide robot's functionality, appearance, interaction methods, and role as a cultural commentator and helper were key factors that influenced the user experience. After identifying hindrance factors, we suggested solutions such as improved interaction design, multimodal interface service design, and content development. This study contributes to the understanding of user experience with guide robots and provides practical suggestions for improvement.

Consumers' perceptions of dietary supplements before and after the COVID-19 pandemic based on big data

  • Eunjung Lee;Hyo Sun Jung;Jin A Jang
    • Journal of Nutrition and Health
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    • v.56 no.3
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    • pp.330-347
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    • 2023
  • Purpose: This study identified words closely associated with the keyword "dietary supplement" (DS) using big data in Korean social media and investigated consumer perceptions and trends related to DSs before (2019) and after the coronavirus disease 2019 (COVID-19) pandemic (2021). Methods: A total of 37,313 keywords were found for the 2019 period, and 35,336 keywords were found for the 2021 period using blogs and cafes on Daum and Naver. Results were derived by text mining, semantic networking, network visualization analysis, and sentiment analysis. Results: The DS-related keywords that frequently appeared before and after COVID-19 were "recommend", "vitamin", "health", "children", "multiple", and "lactobacillus". "Calcium", "lutein", "skin", and "immunity" also had high frequency-inverse document frequency (TF-IDF) values. These keywords imply a keen interest in DSs among Korean consumers. Big data results also reflected social phenomena related to DSs; for example, "baby" and "pregnant woman" had lower TD-IDF values after the pandemic, suggesting lower marriage and birth rates but higher values for "joint", indicating reduced physical activity. A network centered on vitamins and health care was produced by semantic network analysis in 2019. In 2021, values were highest for deficiency and need, indicating that individuals were searching for DSs after the COVID-19 pandemic due to a lack an awareness of the need for adequate nutrient intake. Before the pandemic, DSs and vitamins were associated with healthcare and life cycle-related topics, such as pregnancy, but after the COVID-19 pandemic, consumer interests changed to disease prevention and treatment. Conclusion: This study provides meaningful clues regarding consumer perceptions and trends related to DSs before and after the COVID-19 pandemic and fundamental data on the effect of the pandemic on consumer interest in dietary supplements.

Examining Public Responses to Transgressions of CEOs on YouTube: Social and Semantic Network Analysis

  • Jin-A Choi;Sejung Park
    • Journal of Contemporary Eastern Asia
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    • v.23 no.1
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    • pp.18-34
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    • 2024
  • In what was labeled the "nut rage" incident, the vice president of Korean Air, Hyun-Ah Cho (Heather Cho), demonstrated behavior that exemplifies corporate transgression and deviation from societal moral standards toward a flight attendant aboard a flight. Such behavior instigated the public to express negative sentiment on various social media platforms. This study investigates word-of-mouth network on YouTube in response to the crisis, patterns of co-commenting activities across selected YouTube videos, as well as public responses to the incident by employing social and semantic network analysis. A total of 512 YouTube videos featuring the crisis from December 8, 2014 through November 11, 2018, and 52,772 public comments to the videos were collected. The central videos in the network successfully attracted the public's attention and engagements. The results suggest that the video network was decentralized, with multiple videos acting as hubs in the network. The public commented on various videos instead of focusing on a few. The contents of influential videos uploaded by popular news organizations revealed not only Cho's behaviors related to the nut rage crisis but also unrelated illegal behaviors and the moral violations committed by the family members of Korean Air. The public attached derogatory remarks to Cho and her family, and the comments also addressed ethical concerns, management issues of the company, and boycott intentions. The results imply that adverse public reaction was related to the long-standing problem caused by family ownership and governance in large Korean corporations. This Korean Air scandal illustrates backlash toward a leadership breakdown by the family business conglomerate prevalent in the Korean society. This study provides insights for effective handling of similar crises.

Analysis of Social Network between Consumption Emotion based on the Uniform of Full-Service Carrier and Low-Cost Carrier Crews (대형항공사와 저비용항공사 승무원의 유니폼에 따른 소비정서 간의 사회연결망 분석)

  • Seo, Ran-Sug
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.99-107
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    • 2018
  • The purpose of the study compares the difference between the carriers' reported large consumption emotion of customers in regards to the appearance of the crew. The research method was conducted for 15 days from March 11 to 25, 2018, and the number of valid samples was 289 in total. The results of the study showed that customers differ in the influence of perceived consumption sentiment between full service carrier and low cost carrier on uniform of flight attendant. Consumer sentiments perceived by low cost carriers are comfortable, familiar, and lively, and these results have proven that they are distinguished from low cost carriers by being clean, sophisticated, and large. The results of this study are significant when the airline has changed the crew uniform at the right time and considered it to be a marketing tool that is important to the image change of the company.

Product Evaluation Summarization Through Linguistic Analysis of Product Reviews (상품평의 언어적 분석을 통한 상품 평가 요약 시스템)

  • Lee, Woo-Chul;Lee, Hyun-Ah;Lee, Kong-Joo
    • The KIPS Transactions:PartB
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    • v.17B no.1
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    • pp.93-98
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    • 2010
  • In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.