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감성사전 모델링 #9

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jayleenym opened this issue Dec 27, 2021 · 2 comments
Open
3 tasks done

감성사전 모델링 #9

jayleenym opened this issue Dec 27, 2021 · 2 comments
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감성사전 모델링

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jayleenym commented Dec 27, 2021 •
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  1. Pororo 이용한 라벨링
  • SA task, shopping dataset 이용
  • 긍정 1, 부정 -1, 중립 0으로 라벨링
  1. 직접 감성사전 만들기
@jayleenym jayleenym added this to the 감성사전 milestone Dec 27, 2021
@jayleenym jayleenym self-assigned this Dec 27, 2021
jayleenym added a commit that referenced this issue Dec 27, 2021
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감성사전 모델링 #9
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@jayleenym jayleenym modified the milestone: 감성사전 Dec 27, 2021
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  • 5분동안 수집된 모든 리뷰 데이터
  • 포함된 단어 비중 확인 : pororo tokenizer 확인 => 우리 데이터 셋을 동일한 tokenizer로 나눠서 확인

@jayleenym jayleenym pinned this issue Jan 3, 2022
@jayleenym jayleenym unpinned this issue Jan 3, 2022
jayleenym added a commit that referenced this issue Jan 6, 2022
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#9 pororo labeling
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jayleenym added a commit that referenced this issue Jan 7, 2022
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#9 labeling
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jayleenym added a commit that referenced this issue Jan 8, 2022
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#9 update files
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jayleenym added a commit that referenced this issue Jan 10, 2022
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#9 1차 감성사전 완료
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jayleenym commented Jan 10, 2022 •
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주가 등락 적용 업데이트

  • 10:03 게시글 -> 긍정확률에 수식 적용하려면 % 올랐는지가 있어야 하지 -> 10시 5분에 비해 10:10분 기반으로 올랐는지 내렸는지 학습

  • 18:50 게시글 -> 9:00에 비해 9:05가 올랐는지, 09:05 기반으로 학습

  • pdf -> 하루종일 영향을 준다. (안 올라오는 경우가 더 많음. 올라올 때만 추가적인 정보로) +a

  • 5분 단위 주가 등락 확인 (stock.db)

  • 9시 & 16시 유념

  • pdf 모델링과 합체

jayleenym added a commit that referenced this issue Jan 10, 2022
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#9 SENTIMENT_ver1.0
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jayleenym added a commit that referenced this issue Jan 10, 2022
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#9 주가등락 적용 수식 업데이트
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jayleenym added a commit that referenced this issue Jan 13, 2022
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#9 감성사전 만들기
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jayleenym added a commit that referenced this issue Jan 20, 2022
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#9 등락 수식 업데이트
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jayleenym added a commit that referenced this issue Jan 21, 2022
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#9 등락 수식 적용
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jayleenym added a commit that referenced this issue Jan 21, 2022
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#9 감성사전 주가등락 예측
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jayleenym added a commit that referenced this issue Jan 21, 2022
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#9 정확도 확인 직전
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