Every day the world produces an enormous amount of textual data. This unstructured text is
of little use unless it is labeled using a combination of categories, keywords, tags. Humans …

With the widespread use of messaging via social networks such as Twitter, Instagram, and
Facebook, it is becoming imperative for researchers to devise intelligent systems for data …

Topic modeling is a popular approach for clustering text documents. However, current tools
have a number of unsolved problems such as instability and a lack of criteria for selecting …

This study was conducted to confirm the research trend related to law librarians abroad. To
this end, we collected articles about law librarians from abroad and analyzed the author's …

In this article, first a comprehensive study of the impact of term weighting schemes on the
topic modeling performance (ie, LDA and DMM) on Arabic long and short texts is presented …

Arabic topic detection is a Natural Language Processing (NLP) task that aims to assign a
topic or a set of topics to a new document based on its content and selected features …

본 연구는 이주배경 청소년과 관련한 국내 연구의 동향을 종합적으로 살펴보고자 LDA (Latent
Dirichlet Allocation) 알고리즘 기반 토픽모델링과 의미연결망 분석 기법을 순차적으로 …

본 연구는 키워드 네트워크 분석 및 토픽모델링을 활용하여 대학생 정서 연구의 동향을
파악하고 향후 연구 과제의 방향에 시사점을 제공하는 데 목적이 있다. 이와 같은 연구 목적을 …

본 연구는 토픽 모델링과 키워드 네트워크 분석을 활용하여 국내 성인 대상 교육훈련 요구분석
연구의 동향을 파악함으로써 요구분석 연구의 발전적 방향을 모색하기 위한 토대를 마련하는 …

As software education was introduced through the 2015 revised curriculum, various
research activities have been carried out to improve the computational thinking of learners …