print(word+ ':', count)
时间: 2024-01-27 07:06:32 浏览: 18
I'm sorry, I cannot generate an output without knowing the value of the variables "word" and "count". Can you please provide me with more information or context?
相关问题
在下面这段代码的基础上进行修改import math from collections import defaultdict corpus =["二价 二价 二价 四价 预约", "四价 四价 四价 九价 预约", "九价 九价 九价 九价 预约"] words = [] for sentence in corpus: words.append(sentence.strip().split()) # 进行词频统计 def Counter(words): word_count = [] for sentence in words: word_dict = defaultdict(int) for word in sentence: word_dict[word] += 1 word_count.append(word_dict) return word_count word_count = Counter(words) # 计算TF(word代表被计算的单词,word_dict是被计算单词所在句子分词统计词频后的字典) def tf(word, word_dict): return word_dict[word] / sum(word_dict.values()) # 统计含有该单词的句子数 def count_sentence(word, word_count): return sum([1 for i in word_count if i.get(word)]) # i[word] >= 1 # 计算IDF def idf(word, word_count): return math.log((len(word_count) / (count_sentence(word, word_count) + 1)),10) # 计算TF-IDF def tfidf(word, word_dict, word_count): return tf(word, word_dict) * idf(word, word_count) p = 1 for word_dict in word_count: print("part:{}".format(p)) p += 1 for word, cnt in word_dict.items(): print("word: {} ---- TF-IDF:{}".format(word, tfidf(word, word_dict, word_count))) print("word: {} ---- TF:{}".format(word, tf(word, word_dict))) print("word: {} ---- IDF:{}".format(word, idf(word, word_count))) print("word: {} ---- count_sentence:{}".format(word, count_sentence(word, word_count))),将IDF进行改进,其中自定义热度权重文件weight.txt中我想存入的是每一个文档的热度权重,改进的idf值就是总文档热度权重总和除以包含某词所在的文档的热度权重之和然后再取对数,请写出改进后的python代码
以下是改进后的代码:
```
import math
from collections import defaultdict
corpus =["二价 二价 二价 四价 预约", "四价 四价 四价 九价 预约", "九价 九价 九价 九价 预约"]
words = []
for sentence in corpus:
words.append(sentence.strip().split())
# 进行词频统计
def Counter(words):
word_count = []
for sentence in words:
word_dict = defaultdict(int)
for word in sentence:
word_dict[word] += 1
word_count.append(word_dict)
return word_count
word_count = Counter(words)
# 读取热度权重文件
with open('weight.txt', 'r') as f:
weight = [float(line.strip()) for line in f.readlines()]
# 计算IDF
def idf(word, word_count, weight):
count = count_sentence(word, word_count)
if count == 0:
return 0
else:
return math.log(sum(weight) / (weighted_count_sentence(word, word_count, weight) + 1), 10)
# 统计包含该单词的文档数
def count_sentence(word, word_count):
return sum([1 for i in word_count if i.get(word)])
# 统计包含该单词的文档的热度权重之和
def weighted_count_sentence(word, word_count, weight):
count = 0
for i in word_count:
if i.get(word):
count += weight[word_count.index(i)]
return count
# 计算TF-IDF
def tfidf(word, word_dict, word_count, weight):
return tf(word, word_dict) * idf(word, word_count, weight)
# 计算TF
def tf(word, word_dict):
return word_dict[word] / sum(word_dict.values())
# 输出结果
p = 1
for word_dict in word_count:
print("part:{}".format(p))
p += 1
for word, cnt in word_dict.items():
print("word: {} ---- TF-IDF:{}".format(word, tfidf(word, word_dict, word_count, weight)))
print("word: {} ---- TF:{}".format(word, tf(word, word_dict)))
print("word: {} ---- IDF:{}".format(word, idf(word, word_count, weight)))
print("word: {} ---- count_sentence:{}".format(word, count_sentence(word, word_count)))
```
给出以下代码的注释:for line in sys . stdin : line = line . strip () words = line . split () for word in words : print (% s \ t % s '%( word ,1)) #1/usr/ bin /python3# coding = utf -8 import sys current word = None current _ count =0 word = None for line in sys . stdin : words = line . stripO word , count = words . split try : count = int ( count ) except ValueError : continue print (" current _ word =% s "% current _ word ) if current _ word == word : current _ count += count print (" current _ count =% s "% current _ count ) else : if current _ word : print ('% s \ t % s '%( current _ word , current _ count )) current _ count = count current _ word = word if current _ word == word : print (% s \ t % s '%( current _ word , current _ count ))
这段代码实现了一个简单的 MapReduce 程序,用于对输入的文本进行单词计数。具体注释如下:
1. 从标准输入中读取每一行文本
2. 去除每一行文本的首尾空格,并将其按照空格分割成一个单词列表
3. 对于每个单词,打印出该单词和数字 1,以便进行后续的统计 #1
4. 导入 sys 模块
5. 初始化当前单词和计数器的值为 None 和 0
6. 从标准输入中读取每一行文本
7. 去除每一行文本的首尾空格,并将其分割成一个单词和计数的元组
8. 尝试将计数值转换为一个整数,如果无法转换则忽略该行文本
9. 打印当前单词的值
10. 如果当前单词与读取到的单词相同,则将计数器加上该单词的计数值
11. 打印当前计数器的值
12. 如果当前单词与读取到的单词不同,则打印出当前单词和计数器的值,并更新当前单词和计数器的值为读取到的单词和计数值
13. 如果当前单词与读取到的单词相同,最后需要将最后一个单词和计数器的值打印出来。