A New Approach to Public Segmentation Theory Suitable for Social Media Public

김동성,; 이현우,

doi:10.15814/jpr.2014.18.3.394

journalofpublicrelations

2014

DOI: 10.15814/jpr.2014.18.3.394

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A New Approach to Public Segmentation Theory Suitable for Social Media Public

김동성 김동성¹,

이현우 이현우²

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2019

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Introduction of topic modeling for extracting potential information from unstructured text data: Issue analysis on news article of dementia-related physical activity

Yun¹,

Park²,

Yoon³

2019

Korean J Sport Sci

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Purpose The purpose of this study is to introduce the basic concepts and procedures for topic modeling and to explain topic modeling to news articles about dementia-related physical activities. And it is also to discuss the possibility of using topic Modeling in the field of physical education. Methods In this study, the LDA algorithm of topic modeling is explained and the analysis procedure is summarized step by step by text preprocessing, text formatting, and topic number determination. The application cases were selected from 274 news articles about dementia-related physical activities reported in 13 major daily newspapers from 2000 to 2018. Results When the number of topics is 3, the Coherence Score figure is the highest. Topic 1 is about welfare services for dementia patients, Topic 2 is about prevention of dementia, and Topic 3 is about dementia research. The ratio by each subject is Topic 2 (46.0%), Topic 3 (33.2%) and Topic 1 (20.8%) in order of high ratio. Conclusion Topic modeling is an effective methodology to extract potential information excluding subjectivity of researchers. It is expected to be used when searching for information in massive texts in the field of physical education.

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Introduction of topic modeling for extracting potential information from unstructured text data: Issue analysis on news article of dementia-related physical activity

Yun¹,

Park²,

Yoon³

2019

Korean J Sport Sci

View full text Add to dashboard Cite

show abstract

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A New Approach to Public Segmentation Theory Suitable for Social Media Public

Cited by 1 publication

References 10 publications

Introduction of topic modeling for extracting potential information from unstructured text data: Issue analysis on news article of dementia-related physical activity

Introduction of topic modeling for extracting potential information from unstructured text data: Issue analysis on news article of dementia-related physical activity

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