代码：
import jieba.analyse
sentence = "我爱北京天安门"
# 抽取关键词
keywords = jieba.analyse.extract_tags(sentence, topK=20, withWeight=False, allowPOS=())
# Extract keywords from sentence using TF-IDF algorithm.
# Parameter:
# - topK: return how many top keywords. `None` for all possible words.
# - withWeight: if True, return a list of (word, weight);
# if False, return a list of words.
# - allowPOS: the allowed POS list eg. ['ns', 'n', 'vn', 'v','nr'].
# if the POS of w is not in this list,it will be filtered.
# - withFlag: only work with allowPOS is not empty.
# if True, return a list of pair(word, weight) like posseg.cut
# if False, return a list of words
print("===" * 20)
print(keywords)
# 带权重
keywords = jieba.analyse.extract_tags(sentence, topK=20, withWeight=True, allowPOS=())
print("===" * 20)
for tup in keywords:
print("%s %.4f"%tup)
运行结果：
============================================================ ['天安门', '北京'] ============================================================ 天安门 4.4977 北京 2.3337
代码：
# 实例化
Tfidf = jieba.analyse.TFIDF()
keywords = Tfidf.extract_tags(sentence, topK=20, withWeight=False, allowPOS=())
print("===" * 20)
print(keywords)
# 带权重
keywords2 = Tfidf.extract_tags(sentence, topK=20, withWeight=True, allowPOS=())
print("===" * 20)
for tup in keywords2:
print("%s %.4f"%tup)
运行结果：
============================================================ ['天安门', '北京'] ============================================================ 天安门 4.4977 北京 2.3337
代码：
# 将天安门的idf设置很低
# 载入模块
Tfidf.set_idf_path('idf.txt')
keywords3 = Tfidf.extract_tags(sentence, topK=20, withWeight=False, allowPOS=())
print("===" * 20)
print(keywords3)
# 带权重
keywords3 = Tfidf.extract_tags(sentence, topK=20, withWeight=True, allowPOS=())
print("===" * 20)
for tup in keywords3:
print("%s %.4f"%tup)
运行结果：
============================================================ ['北京', '天安门'] ============================================================ 北京 0.0500 天安门 0.0500
代码：
# 用textrank对文章的关键词进行提取
keywords = jieba.analyse.textrank(sentence, topK=20, withWeight=False, allowPOS=('ns','n','vn','v'))
print("===" * 20)
print(keywords)
# 带权重
keywords = jieba.analyse.textrank(sentence, topK=20, withWeight=True, allowPOS=('ns','n','vn','v'))
print("===" * 20)
for tup in keywords:
print("%s %.4f"%tup)
运行结果：
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============================================================ ['天安门', '北京'] ============================================================ 天安门 1.0000 北京 0.9961
代码：
# 实例化 Textrank = jieba.analyse.TextRank() keywords = Textrank.textrank(sentence) print(keywords)
运行结果：
['天安门', '北京']