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extract_keyword.py
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extract_keyword.py
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from konlpy.tag import Kkma
from sklearn.feature_extraction.text import TfidfVectorizer
common = ['경험', '자신감', '노력', '정확']
passion = ['열심히', '최선', '열정', '충실히', '주도적', '몰입', '성실', '에너지', '활력', '몰두', '끊임없이', '포기하', '활발한', '원동력',
'의지', '끈기', '투지', '열의', '적극', '깊', '독학', '성장', '배우', '학습', '흥미', '관심', '충실', '실천', '꾸준하', '꾸준히']
collaboration = ['소통', '팀워크', '희생', '갈등', '리더십', '커뮤니케이션', '존중', '협력', '유대', '신뢰', '설득', '조율', '헌신', '경청', '연결',
'이해', '공유', '책임', '대화', '도움', '배려', '함께', '융화', '이야기', '나누', '논의', '협의', '합의', '믿음', '공감', '유대감', '유대', '시너지']
challenge = ['시도', '새로운', '도전', '혁신', '창의', '두려워하', '도약', '목표', '변화', '실현', '시작', '용기', '시행', '탐구', '모험',
'결단력', '실행', '기회', '호기심', '실천', '패기']
problem = ['문제', '전략', '성공', '효율', '방안', '발전', '목적', '건의', '분석', '조사', '개선', '원인', '보완', '해결', '목표', '향상', '성취',
'성과', '기여', '달성', '접근', '완성', '휼륭', '활용', '최적', '대응', '솔루션', '극복', '대처', '도출', '해내', '발휘', '적용', '처리']
leadership = ['설득', '창의성', '주도', '팀장', '임원', '조장', '회장', '해결', '분위기', '제시', '리드', '리더', '솔선수범', '추진력', '책임',
'피드백', '영향력', '비전', '신임', '책임감', '관리', '제안', '믿음', '존중', '자발', '배려']
IT = ['개발', '백엔드', '프론트엔드', '인공지능', 'AI', '증강현실', 'API', '노드', 'NodeJs', 'SpringBoot', '자바', 'Java', '스프링부트', '스프링', '자바스크립트', '안드로이드', 'iOS', 'Android', '타입스크립트', 'TypeScript', '자바스크립트', 'JavaScript', 'C++', 'C', '데이터 분석', '모델링', '딥러닝', '머신러닝', 'C#', '파이썬', 'Python', '데이터베이스', 'DB', '서버', '웹', '앱', 'HTML', 'CSS', 'Docker', 'CICD', '스케줄링', '클라이언트', '배포', 'json', '센서', '쓰레드', 'IOT', '데이터', '장고', 'Django',
'data', '해커톤', 'MVC', '아두이노', '라즈베리파이', 'MongoDB', 'RDS', 'PostgreSQL', 'MySQL', 'SQL', 'NoSQL', 'Git', 'AWS', 'Swagger', '스웨거', '명세서', '데이터마이닝', 'PHP', 'JSP', 'DevOps', '릴리즈', '클라우드', 'cloud', 'NFC', '메타버스', '자동화', '알고리즘', '아키텍처', 'UX', 'UI', '웹퍼블리싱', '보안', '해킹', '기계학습', '네트워크', '운영체제', 'OS', '오픈소스', 'GPT', 'Swift', 'Kotlin', '코틀린', '로드밸런싱',
'쿠버네티스', '프레임워크', '캐시', '애자일', 'Agile', '스프린트', '스크럼', '소프트웨어', 'SW', '프로그래밍', 'SI', '빅데이터', '데이터사이언스', '블록체인', '풀스택', 'EC2', 'Jenkins', 'Github Actions', 'React', '리액트', 'Flask', 'Vue.js', 'jQuery', '클론코딩', 'Redux', 'JPA', 'Flutter', 'Express', 'Rest API', 'BootStrap', '부트스트랩', 'Unity', '객체지향', 'R', 'Oracle', 'MariaDB', 'Linux', 'Pandas', '크롤링', '리뷰', '인사이트']
def get_keyword(application):
data = application.replace('\n', '').replace('\t', '').replace('\r', '')
data = data.split('.')
kkma = Kkma()
output = list()
for sample in data:
if sample.strip():
ex_pos = kkma.pos(sample)
text_data = []
for (text, tclass) in ex_pos:
if tclass == 'NNG' or tclass == 'NNP' or tclass == 'VV' or tclass == 'VA' or tclass == 'OL' or tclass == 'MAG':
text_data.append(text)
output.append(text_data)
corpus = list(map(lambda x: ' '.join(x), output))
tfidfv = TfidfVectorizer().fit(corpus)
sorted_dict = sorted(tfidfv.vocabulary_.items(), key=lambda item: item[1], reverse=True)
top_5 = sorted_dict[0:5]
top_5 = list(map(lambda x: x[0], top_5))
p_cnt = 0
c_cnt = 0
ch_cnt = 0
ps_cnt = 0
l_cnt = 0
it_cnt = 0
for w in sorted_dict:
if w[0] in passion:
p_cnt += 1
if w[0] in collaboration:
c_cnt += 1
if w[0] in challenge:
ch_cnt += 1
if w[0] in problem:
ps_cnt += 1
if w[0] in leadership:
l_cnt += 1
if w[0] in IT:
it_cnt += 1
if w[0] in common:
p_cnt += 1
c_cnt += 1
ch_cnt += 1
ps_cnt += 1
## 전체 합계
total = p_cnt + c_cnt + ch_cnt + ps_cnt + l_cnt + it_cnt
if total == 0:
return top_5, [0, 0, 0, 0, 0, 0]
## 수치 계산
p_val = round(p_cnt / total * 100, 2)
c_val = round(c_cnt / total * 100, 2)
ch_val = round(ch_cnt / total * 100, 2)
ps_val = round(ps_cnt / total * 100, 2)
l_val = round(l_cnt / total * 100, 2)
it_val = round(it_cnt / total * 100, 2)
return top_5, [p_val, c_val, ch_val, ps_val, l_val, it_val]