(A) study on constructing dictionary for Korean hate speech classification : focusing on online news comments = 한글 혐오 발언 분류를 위한 사전 구축 연구 : 온라인 뉴스 댓글을 중심으로focusing on online news comments

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 294
  • Download : 0
As more people turn online for news, there are more opportunities and a wider platform to share unregulated comments, which may lead to more instances of personal attacks and verbal abuse. Our study aims to classify hate speech in news comments and construct a dictionary of Korean hate speech. We used comments from daily ranking news in four sections of the news portal. We build a Korean hate speech dictionary that uses a word embedding technique, and we implement the classification of hate speech through various machine learning algorithms comparison. Then we present the optimal model by comparing bag-of-words and dictionary based methods. The results of this study can be used as a fundamental study for identifying Korean hate speech.
Advisors
Lee, Wonjaeresearcher이원재researcherCha, Meeyoungresearcher차미영researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2018.8,[iii, 23 p. :]

Keywords

hate speech▼ahate speech classification▼ahate speech dictionary▼adictionary-based classification▼ahate speeh analysis; 혐오 발언▼a혐오 발언 분류▼a혐오 단어 사전▼a단어 기반 분류▼a혐오 발언 분석

URI
http://hdl.handle.net/10203/266044
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=828472&flag=dissertation
Appears in Collection
GCT-Theses_Master(석사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0