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3 changes: 3 additions & 0 deletions .idea/dictionaries/wuwenbin.xml

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4 changes: 4 additions & 0 deletions .idea/misc.xml

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8 changes: 8 additions & 0 deletions .idea/modules.xml

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11 changes: 11 additions & 0 deletions .idea/w_DeepLearningStartUp.iml

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223 changes: 223 additions & 0 deletions .idea/workspace.xml

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38 changes: 38 additions & 0 deletions frequency_count_0W.py
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from zhon.hanzi import punctuation
import nltk
import operator

#获取文本内容
with open("happiness_seg.txt",encoding='utf-8') as f:
text = f.read()

#去除标点、空格
words = text.split()

word_list =[]

for word in words:
if word not in punctuation:
word_list.append(word)

#组成二元分词列表

bigram = list(nltk.bigrams(word_list))

#计算二元分词出现的频率

bigram_frequency ={}

for bigram_words in bigram:
if bigram_words not in bigram_frequency:
bigram_frequency[bigram_words] = 1
else:
bigram_frequency[bigram_words] += 1

#输入出现次数最多的前十个
bigram_frequency_sorted = sorted(
bigram_frequency.items(), key=operator.itemgetter(1),reverse=True)

print("出现频率最高的前 10 个「二元词组」是")
for i in range(10):
print(bigram_frequency_sorted[i])