RSS 阅读 iPhoneiPad 应用程序

文章的案例代码

python
import nltk
from nltk.corpus import brown
import pandas as pd
# 加载语料库
nltk.download('brown')
nltk.download('punkt')
# 加载RSS阅读iPhone/iPad应用程序的数据
data = pd.read_csv('rss_app_data.csv')
# 分词和词性标注
def tokenize_and_tag(text):
    tokens = nltk.word_tokenize(text)
    tagged_tokens = nltk.pos_tag(tokens)
    return tagged_tokens
# 提取名词短语
def extract_noun_phrases(tagged_tokens):
    grammar = "NP: {
?*}"
    cp = nltk.RegexpParser(grammar)
    tree = cp.parse(tagged_tokens)
    noun_phrases = []
    for subtree in tree.subtrees():
        if subtree.label() == 'NP':
            noun_phrase = ' '.join(word for word, tag in subtree.leaves())
            noun_phrases.append(noun_phrase)
    return noun_phrases
# 生成文章
def generate_article(data):
    article = ''
    for i in range(len(data)):
        title = data['title'][i]
        description = data['description'][i]
        tagged_tokens = tokenize_and_tag(description)
        noun_phrases = extract_noun_phrases(tagged_tokens)
        article += '' + title + '' + '\n\n'
        article += description + '\n\n'
        article += '相关的名词短语：' + ', '.join(noun_phrases) + '\n\n'
    return article
# 执行生成文章
article = generate_article(data)
print(article)