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초록
Topics calculated using LDA topic modeling have to be labeled separately. When labeling a topic, we look at the words that represent the topic, and label the topic. Therefore, it is important to first make a good set of words that represent the topic. This paper proposes a method of calculating a set of words representing a topic using TextRank, which extracts the keywords of a document. The proposed method uses Relevance to select words related to the topic with discrimination. It extracts topic keywords using the TextRank algorithm and connects keywords with a high frequency of simultaneous occurrence to express the topic with a higher coverage.
키워드
LDA; Topic Model; Topic Label; Relevance; TextRank
- 제목
- 토픽 레이블링을 위한 토픽 키워드 산출 방법
- 제목 (타언어)
- A Method of Calculating Topic Keywords for Topic Labeling
- 저자
- 김은회; 서유화
- 발행일
- 2020-09
- 저널명
- (사)디지털산업정보학회 논문지
- 권
- 16
- 호
- 3
- 페이지
- 25 ~ 36