4차 구현사항 upload

 import downloader
 from time import sleep
+from konlpy.tag import Twitter
+from collections import Counter
+import pytagcloud
+import operator
+def get_tags (Comment_List) :
+
+    okja = []
+    for temp in Comment_List :
+        okja.append(temp['text'])
+    twitter = Twitter()
+    sentence_tag  =[]
+    for sentence in okja:
+        morph = twitter.pos(sentence)
+        sentence_tag.append(morph)
+        print(morph)
+        print('-'*30)
+    print(sentence_tag)
+    print(len(sentence_tag))
+    print('\n'*3)
+
+    noun_adj_list = []
+    for sentence1 in sentence_tag:
+        for word,tag in sentence1:
+             if len(word) >=2 and tag  == 'Noun':
+                noun_adj_list.append(word)
+    counts = Counter(noun_adj_list)
+    print(' 가장 많이 등장한 10개의 키워드. \n')
+    print(counts.most_common(10))
+    tags2 = counts.most_common(10)
+    taglist = pytagcloud.make_tags(tags2,maxsize=80)
+    pytagcloud.create_tag_image(taglist,'wordcloud.jpg',size =(900,600),fontname ='Nanum Gothic', rectangular = False)
 
 def print_result(Comment_List) :
     for var in Comment_List :
@@ -23,6 +54,66 @@ def search_by_keyword(Comment_List,keyword) :
                 result_List.append(var)
 
         return result_List
+def search_by_time(Comment_List,Time_input) :
+    result_List = []
+    for var in Comment_List :
+        if(var['time'] == Time_input) :
+            result_List.append(var)
+    return result_List
+
+def make_time_chart (Comment_List) :
+    result_List = []
+    save_List = []
+    day_dict = {}
+    month_dict = {}
+    year_dict = {}
+    hour_dict = {}
+    minute_dict = {}
+    week_dict = {}
+    for var in Comment_List :
+        result_List.append(var['time'])
+    for i in range(len(result_List)) :
+        print(result_List[i] + ' ')
+    print('\n\n\n\n')
+    temp_List = list(set(result_List))
+    for i in range(len(temp_List)) :
+        print(temp_List[i] + ' ')
+    print('\n\n\n\n')
+    for i in range (len(temp_List)) :
+        result_dict = {}
+        a = result_List.count(temp_List[i])
+        result_dict[temp_List[i]] = a
+        save_List.append(result_dict)
+
+    for i in range (len(save_List)):
+        num = ''
+        data = 0
+        for j in save_List[i] :
+            num = j
+        for k in save_List[i].values() :
+            data = k
+        if num.find('개월') >= 0 :
+            month_dict[num] = k
+        elif num.find('일') >= 0 :
+            day_dict[num] = k
+        elif num.find('년') >= 0 :
+            year_dict[num] = k
+        elif num.find('시간') >= 0 :
+            hour_dict[num] = k
+        elif num.find('주') >= 0 :
+            week_dict[num] = k
+        elif num.find('분') >= 0 :
+            minute_dict[num] = k
+    year_data = sorted(year_dict.items(), key=operator.itemgetter(0))
+    month_data = sorted(month_dict.items(), key=operator.itemgetter(0))
+    week_data = sorted(week_dict.items(), key=operator.itemgetter(0))
+    day_data = sorted(day_dict.items(), key=operator.itemgetter(0))
+    hour_data = sorted(hour_dict.items(), key=operator.itemgetter(0))
+    minute_data = sorted(minute_dict.items(), key=operator.itemgetter(0))
+    print(month_data)
+    print(week_data)
+    print(day_data)
+
 def call_main ():
     print(' Comment Thread 생성중 \n')
 
@@ -35,10 +126,14 @@ def call_main ():
     print(' **************************************************************')
     print(' **************************************************************')
     a = downloader.main()
-    author_results = search_by_author(a,'광고제거기')
-    text_resutls = search_by_keyword(a,'지현')
-    print_result(author_results)
-    print_result(text_resutls)
+
     return a
 
-CommentList = call_main()
+if __name__ == "__main__":
+    CommentList = call_main()
+    make_time_chart(CommentList)
+    ##author_results = search_by_author(CommentList,'광고제거기')
+    ##text_resutls = search_by_keyword(CommentList,'지현')
+    ##get_tags(CommentList)
+    ##print_result(author_results)
+    ##print_result(text_resutls)

 requests
 beautifulsoup4
 lxml
-cssselect
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+cssselect
+### ũѸ
+pygame
+pytagcloud
+### wordcloud 
+Jpye1
+### Ű м
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@@ -34,3 +34,15 @@ Youtube 3차 수정 사항
 
 1. konlpy (http://konlpy.org/ko/latest/)를 통하여 명사 추출 후 keyword 분석하기
 2. 시간대를 추출하여 시간대 별로 Comment 정리하기
+-----------------------------------------------------
+4차 개발사항
+
+1. konlpy를 이용하여 keyword 분석 후 가장 많이 등장한 키워드 리스트 출력
+2. 1번 기능을 사용하여 wordcloud 구성
+3. 시간대를 이용하여 검색할 수 있는 기능 구현
+4. 시간대 별로 sort된 리스트를 가질 수 있도록 구현
+-----------------------------------------------------
+추가 구현 사항
+
+1. 시간대 별로 sort된 리스트를 matplotlib python을 이용하여 차트화 시키기
+2. 기능 별로 접근할 수 있도록 정리할 것
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