Study on Principal Sentiment Analysis of Social Data

Jang, Phil-Sik

doi:10.9708/jksci.2014.19.12.049

Cited by 5 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, this study emphasizes “ordinary familiarity,” suggesting that intimacy and familiarity may cause consumers to perceive endorsers as ordinary, nearby, and next-door individuals [ 70 ]. In South Korean, the term “familiar” is often used to describe average or plus-size body shapes, contrasting with the slim physiques typically associated with celebrities [ 71 ]. Consequently, South Korean female participants, particularly those in their 20s and 30s, found the plus-size model more familiar than the thin-size model (i.e., reflecting celebrities’ or conventional models’ shapes), even though they believed the plus-size shape did not match their own body sizes.…”

Section: Discussionmentioning

confidence: 99%

Size-inclusive advertising in the Asian fashion market: Female consumers’ responses to a plus-size vs. Thin-size model in South Korea

Kim,

Yang

2024

PLoS ONE

View full text Add to dashboard Cite

Global fashion brands have embraced size-inclusive advertising featuring plus-size models, yet the responses of Asian consumers to such advertising—where the average body size of women is smaller than in Western markets—have garnered little attention. This study, utilizing the S-O-R model, aimed to investigate whether the relationships among perceived actual and ideal self-congruence, perceived attractiveness and familiarity of a fashion model, and purchase intention vary based on the body size of the fashion model. We tested the hypothesized relationships using ANCOVA, confirmatory factor analysis, and multi-group structural equation modeling, analyzing 623 online survey responses from South Korean female consumers. Actual self-congruence had a greater influence on perceived familiarity in consumers exposed to a thin-sized model compared to those exposed to a plus-sized model. In contrast, ideal self-congruence had a more significant positive impact on the perceived physical attractiveness of the plus-size model than the thin-size model. Furthermore, the plus-size model’s perceived physical attractiveness had a more significant positive effect on purchase intention than that of the thin-size model. This study highlights the importance of crafting advertising images that portray plus-size models as physically attractive to elicit favorable responses from Asian consumers.

show abstract

Section: Discussionmentioning

confidence: 99%

Size-inclusive advertising in the Asian fashion market: Female consumers’ responses to a plus-size vs. Thin-size model in South Korea

Kim,

Yang

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The analysis of the emotions and public opinion of these social big data can be used to create marketing value and strategy of the company, which can generate the emerging value of online market. Also the government recognizes social big data as the data of the public opinion and sentiment, and is actively utilizing it to establish national policies [1,2]. For this reason, researches on text mining, natural language processing, and emotional analysis are being actively carried out.…”

Section: Introductionmentioning

confidence: 99%

Newly-Coined Words and Emoticons Dictionary Construction for Social Data Sentiment Analysis

2019

Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering

View full text Add to dashboard Cite

In the co mposition of social networks and social networks services, most of articles are written with writer's personal ideas and emotions within 200 words. Social networks services produce social b ig data and provide vast volumes of data. Social big data has various types of text-centric data, photos, music and videos, and informal data. It is difficult to deal with social big data, sin ce it has rapid changes and volume growth. But, analysis of social big data may accept the online market trust agreement and establish national policies to support the marketing and strategy formulation of the co mpany for marketing and strategy establishment. This paper proposes a new social big data analysis system that uses new-coined words and emoticons for social big data analysis. In this paper, we also construct a new dictionary of emoticons to improve the accuracy of big data analysis related to the public opinion, and to improve the accuracy of emot ional analysis using the existing emotional dictionaries and the newly constructed new emoticons and emoticon dict ionaries at the analysis stage. Especially, the accuracy of social big data analysis could be imp roved by quantifying and analyzing emot ional level about emoticons and new-coined words. This research built a dictionary of emoticons, and used the Naver open dictionary for newly-co ined words. But, newly-coined words that were not included in the Naver open dictionary are added to proposed newly-coined words database.

show abstract

A Case Study of Visualizing Emotions with Social Media Emotion Analysis : Focused on Media Art Cases

Chung¹

2022

adr

View full text Add to dashboard Cite

Study on Principal Sentiment Analysis of Social Data

Cited by 5 publications

References 12 publications

Size-inclusive advertising in the Asian fashion market: Female consumers’ responses to a plus-size vs. Thin-size model in South Korea

Size-inclusive advertising in the Asian fashion market: Female consumers’ responses to a plus-size vs. Thin-size model in South Korea

Newly-Coined Words and Emoticons Dictionary Construction for Social Data Sentiment Analysis

A Case Study of Visualizing Emotions with Social Media Emotion Analysis : Focused on Media Art Cases

Contact Info

Product

Resources

About