데이터저장형식결정필요

+# KNU 한국어 감성사전
+# 작성자 : 온병원, 박상민, 나철원
+# 소속 : 군산대학교 소프트웨어융합공학과 Data Intelligence Lab
+# 홈페이지 : dilab.kunsan.ac.kr
+# 작성일 : 2018.05.14
+# 뜻풀이 데이터 출처 : https://github.com/mrchypark/stdkor
+# 신조어 데이터 출처 : https://ko.wikipedia.org/wiki/%EB%8C%80%ED%95%9C%EB%AF%BC%EA%B5%AD%EC%9D%98_%EC%9D%B8%ED%84%B0%EB%84%B7_%EC%8B%A0%EC%A1%B0%EC%96%B4_%EB%AA%A9%EB%A1%9D
+# 이모티콘 데이터 출처: https://ko.wikipedia.org/wiki/%EC%9D%B4%EB%AA%A8%ED%8B%B0%EC%BD%98
+# SentiWordNet_3.0.0_20130122 데이터 출처 : http://sentiwordnet.isti.cnr.it/
+# SenticNet-5.0 데이터 출처 : http://sentic.net/
+# 감정단어사전0603 데이터 출처 : http://datascience.khu.ac.kr/board/bbs/board.php?bo_table=05_01&wr_id=91 
+# 김은영, “국어 감정동사 연구”, 2004.02, 학위논문(박사) - 전남대학교 국어국문학과 대학원
+
+#-*-coding:utf-8-*-
+
+import json
+
+import warnings
+warnings.simplefilter(("ignore"))
+import openpyxl
+import pandas as pd
+
+class KnuSL():
+    
+    def data_list(wordname):
+        with open('KnuSentiLex/data/SentiWord_info.json', encoding='utf-8-sig', mode='r') as f:
+            data = json.load(f)
+            result = ['X','X']
+            
+        for i in range(0, len(data)):
+            if data[i]['word'] == wordname:
+                result.pop()
+                result.pop()
+                result.append(data[i]['word_root'])
+                result.append(data[i]['polarity'])
+
+        r_word = result[0] #어근
+        s_word = result[1] #극성
+        
+        return s_word
+
+if __name__ == "__main__":
+
+    ksl = KnuSL
+    
+    print("\nKNU 한국어 감성사전입니다~ :)")
+    print("사전에 단어가 없는 경우 결과가 None으로 나타납니다!!!")
+    print("종료하시려면 #을 입력해주세요!!!")
+    print("-2:매우 부정, -1:부정, 0:중립 or Unkwon, 1:긍정, 2:매우 긍정")
+    print("\n")
+
+filefolder = input("종목폴더입력: ")
+filename=input("파일이름입력:")
+filepos = "C:/Users/yangj/PycharmProjects/pythonProject1/뉴스키워드/"+filefolder+"/" + filename + ".xlsx"
+kfile = openpyxl.load_workbook(filepos)#파일이름입력
+ws=kfile.active
+data=[]
+i=0
+for row in ws.rows:
+    data.append([])
+    for cell in row:
+        if cell.value != None:
+            data[i].append(cell.value)
+    i += 1
+print(type(data))
+del data[0] #첫번째 의미없는 열 삭제
+for i in range(len(data)):
+    del data[i][0] #각 열의 첫번째 행 삭제
+print(data)
+
+KNUdata=[]
+        
+for x in range(len(data)):
+    KNUdata.append([])
+    for y in range(len(data[x])):
+        KNUdata[x].append(ksl.data_list(data[x][y]))
+
+df_list = pd.DataFrame(data)
+df_knu = pd.DataFrame(KNUdata)
+result = pd.concat([ df_list, df_knu], axis=1) #TfIf dataframe으로 변환
+result.to_excel(filename+' KNU'+'.xlsx')

+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>
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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>
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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7" project-jdk-type="Python SDK" />
+</project>
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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/knu.iml" filepath="$PROJECT_DIR$/.idea/knu.iml" />
+    </modules>
+  </component>
+</project>
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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$/.." vcs="Git" />
+    <mapping directory="$PROJECT_DIR$/KnuSentiLex" vcs="Git" />
+  </component>
+</project>
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+pip

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+Summary: UNKNOWN
+Home-page: UNKNOWN
+Author: UNKNOWN
+Author-email: UNKNOWN
+License: UNKNOWN
+Platform: UNKNOWN
+
+UNKNOWN
+
+

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+Wheel-Version: 1.0
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+Root-Is-Purelib: false
+Tag: cp37-cp37m-win_amd64
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+MeCab
+_MeCab