The Analysis of Core Contents in Comsumer Area from 1st to 2009 Revised Middle School Home Economics Textbooks

Ju, Sueun; Park, Myoung Sook

doi:10.19031/jkheea.2015.12.27.4.37

Cited by 1 publication

(1 citation statement)

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“…[19] , 이를 구성하고 있는 핵심 개념은 최근에도 여러 연구자들에 의해 재조명되고 있다 [20] . Word2vec 당 연구를 심층 분석한 연구 [21] , 중학 과정 중 가정과 소비생활 영역의 핵심 교육내용을 파악하기 위해 해 당 교과서를 분석한 연구 [22] , 주가 예측을 위해 뉴스 데이터를 분석한 연구 [23] , 문서들의 개요 제공을 위해 뉴스 데이터를 분석한 연구 [24] , 항생제 오용의 증거 도 출을 위해 트위터 데이터를 분석한 연구 [25] [38] , 리더-팔로우 기법을 활용하 여 포털에서의 검색 결과를 군집화한 연구 [39] , k-means 기법을 활용하여 법령 정보를 분석한 연구 [40] , 소셜 북마킹 서비스 "Delicious"에서 사용된 태그 들을 군집화한 연구 등이 있다 [41] .…”

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Investigations on Techniques and Applications of Text Analytics

Kim¹,

Lee²,

Choi³

et al. 2017

The Journal of Korean Institute of Communications and Informati

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The demand and interest in big data analytics are increasing rapidly. The concepts around big data include not only existing structured data, but also various kinds of unstructured data such as text, images, videos, and logs.Among the various types of unstructured data, text data have gained particular attention because it is the most representative method to describe and deliver information. Text analysis is generally performed in the following order: document collection, parsing and filtering, structuring, frequency analysis, and similarity analysis. The results of the analysis can be displayed through word cloud, word network, topic modeling, document classification, and semantic analysis. Notably, there is an increasing demand to identify trending topics from the rapidly increasing text data generated through various social media. Thus, research on and applications of topic modeling have been actively carried out in various fields since topic modeling is able to extract the core topics from a huge amount of unstructured text documents and provide the document groups for each different topic. In this paper, we review the major techniques and research trends of text analysis. Further, we also introduce some cases of applications that solve the problems in various fields by using topic modeling.

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