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jhgarry
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Mar 26, 2025
| "# 리뷰 텍스트 추출\n", | ||
| "################################\n", | ||
| "# reviews_class = \n", | ||
| "reviews_class = soup.find_all(\"p\", class_=[\"context-text\", \"css-c92dc4\"]) # `class_` 속성 사용\n", |
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find_all로 class_ 속성을 받아오는 게 훨씬 더 직관적이어서 좋은 것 같네요. 하나 더 배워갑니다.
| "# 리뷰어 리스트 출력\n", | ||
| "# 각 리뷰 텍스트 정리 후 추가\n", | ||
| "for review in reviews_class:\n", | ||
| "for review, reviewer in zip(reviews_class, reviewers_class) :\n", |
| " count += 1\n", | ||
| "\n", | ||
| "# 마지막 리뷰 처리 (남은 게 있을 경우)\n", | ||
| "if count > 0:\n", |
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if문이 필요한 건가요? 마지막 리뷰에 도달할 때는 count가 항상 5일 것 같아서요.
| " path_tag = container.find(\"path\")\n", | ||
| " if path_tag:\n", | ||
| " d_attr = path_tag['d']\n", | ||
| " star_check = d_attr[1:3] \n", |
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d_attr이랑 star_check 두 줄로 안하고 ['d'][1:3]으로 한줄로 줄일 수도 있을 것 같아요.
| "################################\n", | ||
| "\n", | ||
| "# 각 리뷰별로 별점 계산\n", | ||
| "rating_containers = soup.find_all(\"svg\", attrs={\"xmlns\": \"http://www.w3.org/2000/svg\", \"class\": \"css-1mj121y\"})\n", |
| "\n", | ||
| "# 단어 추출 (특수문자 제거)\n", | ||
| "# words = \n", | ||
| "words = re.sub(r'[^가-힣a-zA-Z0-9\\s]', '', all_reviews_text).split()\n", |
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sub으로 접근하는 방식이나 ^으로 선택 외 다른 것들을 제거하는 방식은 생각해보지 못했었습니다. 배워갑니다.
| "\n", | ||
| "# 불용어 제거\n", | ||
| "# filtered_words = \n", | ||
| "filtered_words = [c for c in words if c not in korean_stopwords]\n", |
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이 방식이 정답이었겠군요, 저는 set을 제대로 활용을 못해 결과가 좋지 않았었습니다. 저는이 부분의 코드를 특히 기억해놔야 할 것 같습니다.
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