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【作品展示】

 

【作品介绍】

改编自‘诗落谁家’

需准备两个文件：ls.txt和zz.txt

 

【作品源代码】

from nltk.classify import NaiveBayesClassifier
import jieba
from pyecharts import Pie
import os
import webbrowser
with open('ls.txt', 'r', encoding='UTF-8-sig') as text:
    txt1 = text.read()
    list1 = jieba.lcut(txt1)
    r1 = ' '.join(list1)
with open('zz.txt', 'r', encoding='UTF-8-sig') as text:
    txt1 = text.read()
    list1 = jieba.lcut(txt1)
    r2 = ' '.join(list1)
#词语特征函数


def word_feats(words):
    return dict([(word, True) for word in words])


#苏轼，陆游风格
ss_f = [(word_feats(words), 'ss') for words in r1]
ll_f = [(word_feats(words), 'll') for words in r2]
train_set = ss_f+ll_f
fenlei = NaiveBayesClassifier.train(train_set)
print('少年，文落谁家，敢来挑战吗？')
print('输入作者或朱自清的一段文字，程序就能自己猜出作者哦！')
text = input('请输入：')
words = jieba.lcut(text)
ss = 0
ll = 0
for word in words:
    classResult = fenlei.classify(word_feats(word))
    if classResult == 'ss':
        ss += 1
    else:
        ll += 1

ss = ss/len(words)
ll = ll/len(words)
print('雷神的可能性：', ss)
print('朱自清的可能性：', ll)

#饼状图
pie = Pie('少年，文落谁家？敢来挑战吗？')
attr = ['雷神', '朱自清']
v1 = []
v1.append(ss)
v1.append(ll)
pie.add(
    '',
    attr, v1,
    is_label_show=True,
    radius=[33, 55],
    is_random_color=True
)
pie.render()
webbrowser.open('file://'+os.path.realpath('render.html'))

 

【提示】

部分含有Python第三方库相关内容的作品，在海龟编辑器网页端无法运行哦！如遇到这种情况，可以打开下面的链接，下载海龟编辑器客户端：

https://python.codemao.cn