词频统计器
分析文本并按频率排名统计每个词的出现次数。
词频统计工具分析一段文本，并告诉您每个单词出现的频率，从最常见到最少见排列。这是作家、编辑、学生和数据分析师的强大工具，可以了解文档的词汇分布、识别过度使用的词语，或在不使用专业软件的情况下进行基本文本分析。
粘贴您的文本，工具将其分割成单独的单词，规范化大小写（"The"、"the"和"THE"算作同一个词），并显示按计数排序的频率表。可以过滤常见停用词，以专注于文本中有意义的内容词。
词频分析的应用超出了写作范畴：在语言学中，它是可读性评分的基础；在市场营销中，它揭示客户最常使用的术语；在 SEO 中，它有助于识别内容的自然关键词密度。
常见问题
代码实现
from collections import Counter
import re
STOP_WORDS = {
"a", "an", "the", "and", "or", "but", "in", "on", "at", "to",
"for", "of", "with", "by", "from", "is", "are", "was", "were",
"it", "this", "that", "be", "as", "not", "i", "you", "he", "she",
}
def word_frequency(text: str, stop_words: bool = True, top_n: int = 10) -> list[tuple[str, int]]:
# Lowercase and extract words
words = re.findall(r"[a-z']+", text.lower())
if stop_words:
words = [w for w in words if w not in STOP_WORDS]
counter = Counter(words)
return counter.most_common(top_n)
text = """To be or not to be, that is the question.
Whether tis nobler in the mind to suffer
the slings and arrows of outrageous fortune."""
for word, count in word_frequency(text):
print(f"{word:<20} {count}")Comments & Feedback
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