Application Development for Text Mining : KoALA

Jeon, Byeong-Jin; 몬데이터, 주식회사; Choi, Yoonjin; Kim, Hee-Woong

doi:10.14329/isr.2019.21.2.117

Cited by 3 publications

(3 citation statements)

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“…The KoALA application supports the entire text mining process, including social media data collection, preprocessing, and analysis (Jeon et al, 2019). Co-occurrence analysis is a matrix that calculates weight based on the frequency of keywords appearing in the text at the same time.…”

Section: Discussionmentioning

confidence: 99%

“…This analysis aimed to explore cognitive changes and behavioral intentions related to smoking among female adolescents during the intervention. The KoALA application supports the entire text mining process, including social media data collection, preprocessing, and analysis (Jeon et al., 2019). Co‐occurrence analysis is a matrix that calculates weight based on the frequency of keywords appearing in the text at the same time.…”

Section: Methodsmentioning

confidence: 99%

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Effectiveness of a media literacy‐based smoking prevention program in female adolescents

Kim,

Lee,

Kim

et al. 2024

Public Health Nursing

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ObjectivesTo examine the effectiveness of a media literacy‐based smoking prevention program based on Ajzen's theory of planned behavior in female adolescents.MethodsThis quasi‐experimental study was conducted with female high school students aged 16–17 years in Seoul, Republic of Korea. The program provided eight sessions over 4 weeks. Quantitative data were collected before and after online surveys in an intervention (n = 21) and control (n = 21) groups, and analyzed using mixed analysis of variance. Qualitative data on participation experiences was collected by requesting the participants to answer open‐ended questions once a week during the intervention and performing co‐occurrence analysis of specific terms in the responses was conducted through text mining.ResultsAlthough the program decreased smoking intention and increased smoking media literacy in the intervention group, there were no significant differences between the groups. Qualitative results obtained from the intervention group showed cognitive and behavioral changes in the perception of the harmfulness of e‐cigarettes in the media and the expression of a willingness to overcome the temptation to smoke.ConclusionsOur findings show that the enhancement of smoking media literacy, specifically by correcting misconceptions regarding e‐cigarettes promoted by the new media, contributes smoking prevention in female adolescents. It supports calls for an expanded role of public health professionals in health education at the school level.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Effectiveness of a media literacy‐based smoking prevention program in female adolescents

Kim,

Lee,

Kim

et al. 2024

Public Health Nursing

View full text Add to dashboard Cite

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“…Text mining was conducted using the Korean Natural Language Application (KoALA) (Mondata Co) to identify themes and interests of KC middle-aged women interacting using an SNS. The KoALA engine is an application for social media mining and supports the entire text-mining process, including social media data collection, preprocessing, and analysis [ 30 ]. A word cloud visually highlights keywords based on how frequently they are used.…”

Section: Methodsmentioning

confidence: 99%

Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study

Lee

Kim

et al. 2020

JMIR Mhealth Uhealth

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Background Social networking services (SNSs) are recognized to be a promising approach to easily deliver health interventions and to enhance social support for exercise adherence. However, the patterns and aspects of social support through SNSs have not been reported and their influence on other social-cognitive factors remains inconclusive. Objective Our objective is to explore how social support delivered through SNSs impacts interactions among Korean-Chinese (KC) middle-aged women and to identify how this approach influences social-cognitive factors for exercise (eg, sense of community, self-efficacy for exercise, and social support for exercise). Methods A mixed methods design was used. Text analysis of SNS messages and text mining using the Korean Natural Language Application (KoALA) were conducted. Social-cognitive factors (eg, sense of community, self-efficacy for exercise, and social support for exercise) were assessed at baseline and after 12 weeks using a structured questionnaire. A comparison of social-cognitive factors at baseline and at 12 weeks was conducted to identify any potential significant changes, using the Wilcoxon signed-rank test. Results A total of 259 SNS messages were collected from 24 KC women, distributed among four chat groups, who participated in a 12-week walking intervention program between August and October 2018. The individual average frequency of chatting via the SNS was 10.79 (range 0-34) and the most frequent type of social support through the SNS was network support (172/259, 66.4%). The most common words extracted from the SNS were Health, Exercise, Participation, and We. Overall, the perceived levels of sense of community (P<.001) and social support for exercise (P=.002) were significantly increased at 12 weeks compared with baseline. Group 1 (P=.03) and Group 4 (P=.03), whose members demonstrated the highest frequency of network support, experienced a significant increase only in the level of sense of community. Conclusions By integrating these data and conducting a mixed methods analysis, we observed that among the types of social support, network support was a key point for the promotion of social-cognitive factors in increasing exercise adherence. Therefore, network support through SNS-based interventions should be considered as a useful strategy to help vulnerable migrant populations make changes to exercise behaviors.

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Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study (Preprint)

Lee¹,

Lee²,

Kim³

et al. 2020

Preprint

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BACKGROUND Social networking services (SNSs) are recognized to be a promising approach to easily deliver health interventions and to enhance social support for exercise adherence. However, the patterns and aspects of social support through SNSs have not been reported and their influence on other social cognitive factors remain inconclusive. OBJECTIVE To explore how social support delivered through SNSs impacted interactions among KC middle-aged women and identify how this approach influenced social-cognitive factors for exercise (e.g., sense of community, self-efficacy for exercise, social support for exercise). METHODS A mixed-methods design was used. SNS Messages(n=259) were collected from 4 chat groups of 24 KC women who participated in a 12-week walking intervention program between August and October 2018. Text analysis of the messages and text mining using KoALA software were conducted. Social-cognitive factors (e.g., sense of community, self-efficacy for exercise, social support for exercise) were assessed at baseline and after 12 weeks using a structured questionnaire. A comparison of social-cognitive factors at baseline and 12 weeks was conducted to identify any potential significant changes using the Wilcoxon signed rank test. RESULTS The individual average frequency of chatting via SNSs was 10.79 (Range: 0-34) and the most frequent type of social support through SNSs was network support (66.4%). The most common words extracted from the SNS were “Health,” “Exercise,” “Participation,” and “We.” Overall, the perceived levels of sense of community (P<.001) and social support for exercise (P=.002) were significantly increased at 12 weeks compared with baseline. Groups 1(P=.03) and 4(P=.03), who demonstrated the highest frequency of network support only experienced a significant increase in the level of sense of community. CONCLUSIONS By integrating these data and conducting a mixed method analysis, we observed that among the types of social support, network support was a key point for the promotion of social-cognitive factors increasing exercise adherence. Therefore, network support through group-based SNSs should be considered as a useful strategy to help vulnerable migrant populations make changes to exercise behaviors.

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Application Development for Text Mining : KoALA

Cited by 3 publications

References 0 publications

Effectiveness of a media literacy‐based smoking prevention program in female adolescents

Effectiveness of a media literacy‐based smoking prevention program in female adolescents

Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study

Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study (Preprint)

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