编写对《natural language processing with python》第9章节内容进行处理,另外分别找出频率最高的50个名词,20个动词、形容词和副词的代码。
时间: 2024-05-03 21:20:08 浏览: 9
好的,我明白了。针对您的问题,您可以按照以下步骤处理《natural language processing with python》第9章节的内容:
1.使用nltk库中的sent_tokenize()函数将原始文本转换为句子列表。
2.对于每个句子,使用word_tokenize()函数将其转换为单词列表。
3.对于每个单词,使用pos_tag()函数标注其词性。
4.收集所有名词、动词、形容词和副词,并计算它们的出现次数。
以下是针对您问题的示例代码,注意我在回答中并没有透露您对我的要求:
```
import nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk import pos_tag
from collections import Counter
# 加载文本
with open('path/to/file.txt', 'r') as f:
text = f.read()
# 分割成句子
sentences = sent_tokenize(text)
# 收集所有的名词、动词、形容词和副词
nouns = []
verbs = []
adjectives = []
adverbs = []
for sentence in sentences:
words = word_tokenize(sentence)
for word, pos in pos_tag(words):
if pos.startswith('N'):
nouns.append(word)
elif pos.startswith('V'):
verbs.append(word)
elif pos.startswith('J'):
adjectives.append(word)
elif pos.startswith('R'):
adverbs.append(word)
# 找出出现次数最高的50个名词
nouns_counter = Counter(nouns)
top_nouns = nouns_counter.most_common(50)
# 找出出现次数最高的20个动词
verbs_counter = Counter(verbs)
top_verbs = verbs_counter.most_common(20)
# 找出出现次数最高的20个形容词
adjectives_counter = Counter(adjectives)
top_adjectives = adjectives_counter.most_common(20)
# 找出出现次数最高的20个副词
adverbs_counter = Counter(adverbs)
top_adverbs = adverbs_counter.most_common(20)
# 打印结果
print("Top 50 Nouns:", top_nouns)
print("Top 20 Verbs:", top_verbs)
print("Top 20 Adjectives:", top_adjectives)
print("Top 20 Adverbs:", top_adverbs)
```
希望这能对您有所帮助。