회원학회
회원학회
| 번호 | 연구제목 | 연구자 | 연구기간 | 발표실적 |
|---|---|---|---|---|
| 내용 | ||||
| 61 | Python을 활용한 『東醫寶鑑 內景篇』텍스트마이닝과 ‘皮毛’ 상관성 분석 | 조현석 | 2020-07-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Dongeuibogam Internal Bodily Elements(東醫寶鑑 內景篇) by text mining method. Methods : Text Data of Dongeuibogam Internal Bodily Elements(東醫寶鑑 內景篇) was analyzed by program Python and konlpy for text mining and visualizing. The correlation of word \"skin and hair(皮毛)“ was analyzed. Results : 22677 words were analyzed by text data mining. Network, w2v(word to vector) analysis was performed and related terms to \"skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Dongeuibogam were visualized. The nearest to \"skin and hair(皮毛)“ were \"唾\", \"易\", \"太陽\". |
||||
| 60 | Python을 활용한 『東醫寶鑑 雜病篇』텍스트마이닝과 ‘皮毛’ 상관성 분석 | 조현석 | 2020-07-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Dongeuibogam Miscellaneous Disorder(東醫寶鑑 雜病篇) by text mining method. Methods : Text Data of Dongeuibogam Miscellaneous Disorder(東醫寶鑑 雜病篇) was analyzed by program Python and konlpy for text mining and visualizing. The correlation of word \"skin and hair(皮毛)“ was analyzed. Results : 52940 words were analyzed by text data mining. Network, w2v(word to vector) analysis was performed and related terms to “skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Dongeuibogam were visualized. The nearest to “skin and hair(皮毛)” were “雜病”, “吹鼻”, “外”. |
||||
| 59 | Python을 활용한 『東醫寶鑑』텍스트마이닝과 | 조현석 | 2020-01-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Dongeuibogam(東醫寶鑑) by text mining method. Methods : Text Data of Dongeuibogam (東醫寶鑑) was analyzed by program Python and konlpy for text mining and visualizing. The correlation of word \"skin(皮)“ was analyzed. Results : 240801 words were analyzed by text data mining. Network, w2v(word to vector) analysis was performed and related terms to “skin(皮膚, 皮)” and \"skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Dongeuibogam were visualized. The nearest to \"skin(皮膚)“ was \"木鬱達之\", \"春五\", \"醋調\". |
||||
| 58 | Python을 활용한 『黃帝內經 素問』 텍스트마이닝과 | 조현석 | 2020-01-01 ~ | 학회지 |
| Objects : This report was performed to analyze text data of Huangdi\'s Internal Classic Planin Questions(黃帝內經 素問) by text mining method. Methods : Text Data of Huangdi\'s Internal Classic Planin Questions(黃帝內經 素問) was analyzed by program R and enjeon for text mining and visualizing. The correlation of word \"skin and hair(皮毛)“ was analyzed. Results : 14451 words of weighted dtm(document term matrix) of Huangdi\'s Internal Classic Planin Questions was made by text data mining. Network, w2v(word to vector) analysis was performed and related terms to \"skin and hair(皮毛)“ were extracted. Conclusions : Network and w2v of Plain Questions were visualized. The most related to \"skin and hair(皮毛)“ was \"excess(實)\". |
||||
