• Title/Summary/Keyword: Newspaper analysis

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Trend Analysis of FinTech and Digital Financial Services using Text Mining (텍스트마이닝을 활용한 핀테크 및 디지털 금융 서비스 트렌드 분석)

  • Kim, Do-Hee;Kim, Min-Jeong
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.131-143
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    • 2022
  • Focusing on FinTech keywords, this study is analyzing newspaper articles and Twitter data by using text mining methodology in order to understand trends in the industry of domestic digital financial service. In the growth of FinTech lifecycle, the frequency analysis has been performed by four important points: Mobile Payment Service, Internet Primary Bank, Data 3 Act, MyData Businesses. Utilizing frequency analysis, which combines the keywords 'China', 'USA', and 'Future' with the 'FinTech', has been predicting the FinTech industry regarding of the current and future position. Next, sentiment analysis was conducted on Twitter to quantify consumers' expectations and concerns about FinTech services. Therefore, this study is able to share meaningful perspective in that it presented strategic directions that the government and companies can use to understanding future FinTech market by combining frequency analysis and sentiment analysis.

An Analysis of Determinants of Health Knowledge, Attitude and Practice of Housewives in Korea (한국부인의 보건지식, 태도 및 실천에 영향을 미치는 제요인분석)

  • 남철현
    • Korean Journal of Health Education and Promotion
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    • v.2 no.1
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    • pp.3-50
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    • 1984
  • The levels of health knowledge, attitude and practice of housewives considerably effect to the health of households, communities and the nation. This study was designed to grasp the levels of health knowledge, attitude and practice of houswives and analyse the various factors effecting to health in order to provide health education services as well as materials for effective formulation and implementation of health policy to improve the health of the nation. This study has been conducted through interviews by trained surveyers for 4,281 housewives selected from 4,500 households throughout the country for 40 days during July 11-August 20, 1983. The results of survey were analysed by stepwise multiple regression and path analysis are summarized as follows; 1. Based on the measurement instrument applied to this study, the levels of health knowledge, attitude and practice of housewives were extremely low with 54.5 points out of 100 points in full. Higher level with 72 points and above was approximately 21 percent and lower level with 39 points and below was approx. 24 percent. The middle level was approx. 55 percent. In order to implement health programs successively, health education should be more strengthened and to improve the level of health knowledge, attitude and practice (KAP) of the nation, political consideration as a part of spiritual reformation must be concentrated on health. 2. The level of health knowledge indicated the highest points with 57.3 the level of attitude was the second with 55.0 points and the practice level was the lowest with 50.0 point. Therefore, planning and implementation of health education program must be based on the persuasion and motivation that health knowledge turn into practice. 3. Housewives who had higher level of health knowledge, showed their practice level was relatively lower and those who had middle or low level of it practice level was the reverse. 4. Correlations among health knowledge, attitude and practice (KAP) were generally higher and statistically significant at 0.1 percent level. Correlation between total health KAP level and health knowledge was the highest with r=.8092. 5. Health KAP levels showed significant differences according to the age, number of children, marital status, self-assessed health status and concern on health of the housewives interviewed (p<0.001) 6. Health KAP levels also showed significant differences according to the education level, economic status, employment before marriage and grown-up area of the housewives interviewed. (p<0.001) 7. Heath KAP levels showed significant differences according to health insurance benificiary and the existence of patients in the family. (p<0.001). 8. Health KAP levels showed significant differences according to distance to government organizations, schools, distance to health facilities, telephone possession rate, television possession rate, newspaper reading rate and activities of Ban meeting and Women's club. (p<0.001) 9. Health KAP levels showed significant differences according to electric mass communication media such as television, radio and village broadcasting etc. and printed media such as newspaper, magazine and booklets etc., IEC variables such as individual consultation and husband-wife communication, however, there was no significance with group training. 10. Health KAP of the housewives showed close correlation with personal characteristics variables, i.e., education level (r=.5302), age (r=-.3694) grown-up area (r=.3357) and employment before marriage. In general, correlation of health knowledge level was higher than the levels of attitude or practice. In case of health concern and health insurance, correlation of practice level was higher than health knowledge level. 11. Health KAP levels showed higher correlation with community environmental characteristics, Ban meeting and activity of Women's club, however, no correlation with New-village movement. 12. Among IEC variables, husband-wife communication showed the highest correlation with health KAP levels and printed media, electric mas communication media and health consultation in order. Therefore, encouragement of husband-wife communication and development of training program for men should be included in health education program. 13. Mass media such as electric mass com. and printed media were effective for knowledge transmission and husband-wife communication and individual consultation were effective for health practice. Group training was significant for knowledge transmission, however, but not significant for attitude formation or turning to health practice. To improve health KAP levels, health knowledge should be transmitted via mass media and health consultation with health professionals and field health workers should be strengthened. 14. Correlation of health KAP levels showed that knowledge level was generally higher than that of practice and recognized that knowledge was not linked with attitude or practice. 15. The twenty-five variables effecting health KAP levels of housewives had 41 per cent explanation variances among which education level had great contribution (β=.2309) and electric mass com. media (β=.1778), husband-wife communication (β=.1482), printed media, grown-up area, and distance to government organizations in order. Variances explained (R²) of health KAP were 31%, 15%, and 30% respectively. 16. Principal variables contributed to health KAP were education level (β=.12320, β=.1465), electric mass comm. media (β=.1762, β=.1839), printed media, (β=.1383, β=.1420) husband-wife communication (β=.1004, β=.1067), grown-up area and distance to government organizations, in order. Since education level contributes greatly to health KAP of the housewives, health education including curriculum development in primary, middle and high schools must be emphasized and health science must be selected as one of the basic liberal arts subject in universities. 17. Variences explained of IEC variables to health KAP were 19% in total, 14% in knowledge, 9% in attitude, and 10% in health practice. Contributions of IEC variables to health KAP levels were printed media (β=.3882), electric mass comm media (β=.3165), husb-band wife com. (β=.2095,) and consultation on health (β=.0841) in order, however, group training showed negative effect (β=-.0402). National fund must be invested for the development of Health Program through mass media such as TV and radio etc. and for printed materials such as newspaper, magazines, phamplet etc. needed for transmission of health knowledge. 18. Variables contributed to health KAP levels through IEC variables with indirect effects were education level (Ind E=0.0410), health concern (Ind E=.0161), newspaper reading rate (Ind E=.0137), TV possession rate and activity of Ban meeting in order, however, health facility showed negative effect (Ind E=-.0232) and other variables showed direct effect but not indirect effect. 19. Among the variables effecting health KAP level, education level showed the highest in total effect (TE=.2693) then IEC (TE=.1972), grown-up city (TE=.1237), newspaper reading rate (TE=.1020), distance to government organization (TE=.095) in order. 20. Variables indicating indirect effects to health KAP levels were; at knowledge level with R²=30%, education level (Ind E=.0344), newspaper reading rate (Ind E=.0112), TV possession rate (Ind E=.0689), activity of Ban meeting (Ind E=.0079) in order and at attitude level with R²=13%, education level (Ind E=. 0338), activity of Ban meeting (Ind E=.0079), and at practice level with R²=29%. education level (Ind E=.0268), health facility (Ind E=.0830) and concern on health (Ind E=.0105). 21. Total effect to health KAP levels and IEC by variable characteristics, personal characteristics variables indicated larger than community characteristics variables. 22. Multiple Correlation Coefficient (MCC) expressed by the Personal Characteristic Variable was .5049 and explained approximately 25% of variances. MCC expressed by total Community environment variable was .4283 and explained approx. 18% of variances. MCC expressed by IEC Variables was .4380 and explained approx. 19% of variances. The most important variable effected to health KAP levels was personal characteristic and then IEC variable, Community Environment variable in order. When the IEC effected with personal characteristic or community characteristic, the MCC or the variances were relatively higher than effecting alone. Therefore it was identified that the IEC was one of the important intermediate variable.

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Methodology of Local Government Policy Issues Through Big Data Analysis (빅데이터 분석을 통한 지방자치단체 정책이슈 도출 방법론)

  • Kim, Yong-Jin;Kim, Do-Young
    • The Journal of the Korea Contents Association
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    • v.18 no.10
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    • pp.229-235
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    • 2018
  • The purpose of this study is to propose a method to utilize Big Data Analysis to find policy issues of local governments in the reality that utilization of big data becomes increasingly important in efficient and effective policy making process. For this purpose, this study analyzed the 180,000 articles of Suwon city for the past three years and identified policy issues and evaluated policy priorities through IPA analysis. The results of this study showed that the analysis of semi-formal big data through newspaper articles is effective in deriving the differentiated policy issues of different local autonomous bodies from the main issues in the nation, In this way, the methodology of finding policy issues through the analysis of big data suggested in this study means that local governments can effectively identify policy issues and effectively identify the people. In addition, the methodology proposed in this study is expected to be applicable to the policy issues through the analysis of various semi - formal and informal big data such as online civil complaint data of the local government, resident SNS.

A comparative study of news media coverage on the presidential candidate's commitments: applying Content Analysis method (대통령후보 공약에 대한 언론보도 비교연구: 보수적 언론과 진보적 언론의 내용분석을 중심으로)

  • Hong, Yong-Rak
    • Journal of Digital Convergence
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    • v.15 no.11
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    • pp.85-95
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    • 2017
  • The news media report the pledges of presidential candidates, which have important implications for political communication. This study is to investigate the difference between news coverage on the presidential candidate' s pledge and to discuss its implications. The sampled news from the two newspapers were analyzed for content analysis. Frequency analysis and Chi-square analysis are utilized with SPSS. As results, there was no difference in the tone of the article's headlines, but the difference of the tone between the article content was statistically significant. The results means that the media framing affect on the reader's perception. Follow - up study can be suggested a comparative study of past election candidates 'pledge reports, a network analysis for the news language, and a comparative analysis of newspaper coverage and broadcast coverage.

A Study on Monitoring Method of Citizen Opinion based on Big Data : Focused on Gyeonggi Lacal Currency (Gyeonggi Money) (빅데이터 기반 시민의견 모니터링 방안 연구 : "경기지역화폐"를 중심으로)

  • Ahn, Soon-Jae;Lee, Sae-Mi;Ryu, Seung-Ei
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.93-99
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    • 2020
  • Text mining is one of the big data analysis methods that extracts meaningful information from atypical large-scale text data. In this study, text mining was used to monitor citizens' opinions on the policies and systems being implemented. We collected 5,108 newspaper articles and 748 online cafe posts related to 'Gyeonggi Lacal Currency' and performed frequency analysis, TF-IDF analysis, association analysis, and word tree visualization analysis. As a result, many articles related to the purpose of introducing local currency, the benefits provided, and the method of use. However, the contents related to the actual use of local currency were written in the online cafe posts. In order to revitalize local currency, the news was involved in the promotion of local currency as an informant. Online cafe posts consisted of the opinions of citizens who are local currency users. SNS and text mining are expected to effectively activate various policies as well as local currency.

Critical Discourse Analysis on Drug Addiction (마약 중독에 대한 비판적 담론 분석)

  • Shin, Seon-Hee
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.712-726
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    • 2022
  • The purpose of this study is to find out what discourse the newspaper's articles produce and distribute about 'drug addiction' and to reveal the topography and meaning of the discourse. Data were collected by searching 'drug' 'drug addiction' as keywords for news articles in four daily newspapers in Korea. As a result of analyzing using Norman Fairclough's critical discourse analysis, first, the 'crime-punishment' discourse was dominant in textual analysis. Drug addiction is a social evil and a serious crime such as sex crimes, child crimes, and violence, so it should be strictly punished. Second, in the discourse practice analysis, drug addiction is a mental disease that needs treatment, so systematic management by the state is required. Third, in the socio-cultural practice analysis, drug addiction is a means of making money for economic benefit, is related to corruption of political power, and is an object that should be strongly controlled to prevent drug crimes from threatening the foundation of the state. Culturally, drug addiction stems from the motivation of pleasure seeking, and is the result of moral degradation. Through this analysis, the conversion to the 'disease-treatment' discourse and drug policies centered on treatment and rehabilitation were suggested as alternatives.

Analyzing the Trend of Wearable Keywords using Text-mining Methodology (텍스트마이닝 방법론을 활용한 웨어러블 관련 키워드의 트렌드 분석)

  • Kim, Min-Jeong
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.181-190
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    • 2020
  • The purpose of this study is to analyze the trends of wearable keywords using text mining methodology. To this end, 11,952 newspaper articles were collected from 1992 to 2019, and frequency analysis and bi-gram analysis were applied. The frequency analysis showed that Samsung Electronics, LG Electronics, and Apple were extracted as the highest frequency words, and smart watches and smart bands continued to emerge as higher frequency in terms of devices. As a result of the analysis of the bi-gram, it was confirmed that the sequence of two adjacent words such as world-first and world-largest appeared continuously, and related new bi-gram words were derived whenever issues or events occurred. This trend of wearable keywords will be useful for understanding the wearable trend and future direction.

Research on the job stress of journalists and indicators of countermeasures -Focusing on daily newspaper reporters and journalists in area of Seoul- (언론인의 직무 스트레스와 대처방안 척도에 관한 연구 -서울지역 일간지 취재기자를 중심으로-)

  • Park, Saeng-Kyu;Cho, Sung-Je
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.12
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    • pp.6155-6162
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    • 2013
  • This study was conducted on daily news reporters working in Seoul to determine the factors/characteristics causing job stress and potential countermeasures. The survey was conducted by interviewing 170 daily news reporters who took part in the study from March 3rd to March 7th 2013. The analysis of the information was performed by frequency analysis, T-test and One-way ANOVA, correlation analysis etc. using the SPSS Win 21.0 program and the empirical analysis was verified at the 5% level of significance. First, the following results of the analysis were meaningful because current journalists and reporters showed reduced levels of stress when their job satisfaction was high. Secondary, smoking and art activity to alleviate their job stress were found to be strong stress countermeasures. Third, there were significant differences in those who had high levels of job stress and exhibited stronger ways of coping with it. This study affirms an alternative in basic policy, which can provide a working environment that helps journalists to perform their work proficiently and steadily.

Semantic Network Analysis of Online News and Social Media Text Related to Comprehensive Nursing Care Service (간호간병통합서비스 관련 온라인 기사 및 소셜미디어 빅데이터의 의미연결망 분석)

  • Kim, Minji;Choi, Mona;Youm, Yoosik
    • Journal of Korean Academy of Nursing
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    • v.47 no.6
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    • pp.806-816
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    • 2017
  • Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

Analysis of News Regarding New Southeastern Airport Using Text Mining Techniques (텍스트 마이닝 기법을 활용한 동남권 신공항 신문기사 분석)

  • Han, Mu Moung Cho;Kim, Yang Sok;Lee, Choong Kwon
    • Smart Media Journal
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    • v.6 no.1
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    • pp.47-53
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    • 2017
  • Social issues are important factors that decide government policy and newspapers are critical channels that reflect them. Analysing news articles can contribute to understanding social issues, but it is very difficult to analyse the unstructured large volumes of news data manually. Therefore, this study aims to analyze the different views among stakeholders of a specific social issue by using text analysis, word cloud analysis and associative analysis methods, which systematically transform unstructured news data into structured one. We analyzed a total of 115 news articles and a total of 6,772 comments, collected from the selected newspapers (Chosun-Il-bo, Joongang-Il-bo, Donga-Il-bo, Maeil Newspaper, Busan-Il-bo) for two weeks. We found that there are significant differences in tone between newspapers. While nation-wide daily newspapers focus on political relations with local areas, local daily newspapers tend to write articles to represent local governments' interests.