1.文本处理:统计文本中单词出现的频率 text="This is a sample textforword frequency analysis."words=text.split()word_count={}forwordinwords:ifwordinword_count:word_count[word]+=1else:word_count[word]=1print(word_count) 2.文
strcopy(tempstr,Word[n].word); strcopy(Word[n].word,Word[n+1].word); strcopy(Word[n+1].word,tempstr); 交换词数 tempnum = Word[n].number; Word[n].number = Word[n+1].number; Word[n+1].number = tempnum; /交换频率 tempfre = Word[n].frequency; Word[n].frequency = Word[n+...
1.文本处理：统计文本中单词出现的频率 text = "This is a sample text for word frequency analysis."words = text.split()word_count = {}for word in words:if word in word_count: word_count[word] += 1else: word_count[word] = 1print(word_count)2.文件操作：复制文件 import shutilsrc...
以下是一个简单的总结代码示例。 # Step 5: 结果解释与总结defsummarize_analysis(word_counts):total_words=sum(word_counts.values())unique_words=len(word_counts)print(f"总词数:{total_words}, 唯一词数:{unique_words}")# 汇总分析结果summarize_analysis(word_frequency) 1. 2. 3. 4. 5. 6. 7....
Python Word Frequency Analysis of 14 Cambridge Exam Past Papers Introduction: In the field of natural language processing, word frequency analysis is an essential technique used to extract meaningful insights from textual data. This article aims to present a comprehensive analysis of word frequency in...
from sinaWeiboFrequency import weiboFrequencyAnalysis # get the new 5 weibo weiboNum = 5 statuses = publicTimeline(sinaWeiboApi, weiboNum) status_texts,screen_names,words = extractWeiboEntities(statuses) for label, data in (('Word', words), ...
word_counts_top = word_counts.most_common(number) # 获取前number个最高频的词 然后是添加“英文词性转中文词性字典”。 我在这个程序中加入了词性分析的功能,即识别当前字/词是形容词、动词还是名词等等。但jieba自带的词性分析输出结果为英文(a/v/n等),不便于用户直接阅读;因此我就在网上搜罗了一圈,自己花...
word_frequency = calculate_word_frequency(sentence) print(word_frequency) 输出结果为: 代码语言:txt 复制 Counter({'Python': 1, 'is': 1, 'a': 1, 'popular': 1, 'programming': 1, 'language': 1, 'for': 1, 'data': 1, 'analysis': 1, 'and': 1, 'machine': 1, 'learning.': ...
meaning=combined_map[word] f.write("{}[{}]@ {}\n".format(key,value,meaning)) counter=Counter([vfork,vinwordListToFreqDict(combined_vocab).items()]) # dump as json jsonmap={} forword,frequencyinsorted(wordListToFreqDict(combined_vocab).items(),key=lambdax: (x[1],x[0]),reverse=...
However, word frequency analysis ignores the order and the context of the words. This is the idea of the famous bag-of-words model (see also Chapter 5): all the words are thrown into a bag where they tumble into a jumble. The original arrangement in the text is lost; only the ...