메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Topics Classification of Applications using the Latent Dirichlet Allocation Model
Recommendations
Search

잠재 디리슈레 분류 모형을 이용한 어플리케이션의 토픽 분류

논문 기본 정보

Type
Academic journal
Author
Journal
The Korean Data Analysis Society Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제18권 제4호 KCI Accredited Journals
Published
2016.1
Pages
1,895 - 1,903 (9page)

Usage

cover
Topics Classification of Applications using the Latent Dirichlet Allocation Model
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
Recently, a lot of applications are uploaded at application store in real time. For marketers, analysis for smartphone users's trend is a very meaningful work. But the topics in applications store are mismatched their characteristics and then there are many problems in analysing app users' behaviors. Specially, as many applications are uploaded every day, the classification of applications is a hard work. In this study, we crawl the app descriptions of Google play store and classify the applications by topics using latent Dirichlet allocation (LDA) model. As results of fitting LDA, we discriminate 7,776 applications into 50 topics.
#어플리케이션 #토픽분석 #잠재 디리슈레 분류 모형 #텍스트데이터 #군집분석. #application #topic analysis #latent Dirichlet allocation model #text data #cluster analysis.

Contents

No content found

References (8)

Add References
Blei, D. M. / 2003 / Latent Dirichlet allocation / The Journal of Machine Learning Research 3:993~1022 google schola 한건희 / 2014 / 빅데이터에 대한 소개와 활용사례에 관한 연구 / Journal of The Korean Data Analysis Society 16(3):1337~1351 dbpia 황용선 / 2013 / 사회네트워크분석을 이용한 질병 발현 유전자 탐색연구 / Journal of The Korean Data Analysis Society 15(2):677~684 dbpia Jung, S. N. / 2015 / A study on text mining in R google schola 김지숙 / 2013 / 빅데이터 기반의 오피니언 마이닝 활용 연구 / Journal of The Korean Data Analysis Society 15(1):101~113 dbpia

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

Seismic Response of Dome Structure with Isolation System according to Isolator Position
Kim, Gee-Cheol, Kang 외 3명ARCHITECTURAL INSTITUTE OF KOREA2016.10
 A study on awareness of ideal body image, internalization of appearance, and anti-fat attitudes among middle-aged women
LEE HYUNHWA, Lee MinsunThe Costume Culture Association2022.08
 Film Trend Analysis Through OTT Movie Information
Kang Min Lee, Jai-Soon Baek, Sung-Jin KimThe Korean Society Of Computer And Information2024.01

Comments(0)

0

Write first comments.