토픽 레이블링을 위한 토픽 키워드 산출 방법A Method of Calculating Topic Keywords for Topic Labeling
- Other Titles
- A Method of Calculating Topic Keywords for Topic Labeling
- Authors
- 김은회; 서유화
- Issue Date
- Sep-2020
- Publisher
- (사)디지털산업정보학회
- Keywords
- LDA; Topic Model; Topic Label; Relevance; TextRank
- Citation
- (사)디지털산업정보학회 논문지, v.16, no.3, pp.25 - 36
- Journal Title
- (사)디지털산업정보학회 논문지
- Volume
- 16
- Number
- 3
- Start Page
- 25
- End Page
- 36
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/39848
- DOI
- 10.17662/ksdim.2020.16.3.025
- ISSN
- 1738-6667
- Abstract
- 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.
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