python pip install newspaper3k python pip install nltk python -m nltk.downloader punkt python -m nltk.downloader averaged_perceptron_tagger python import newspaper source = newspaper.build('https://www.example.com') print(source.brand) print(source.description) for article in source.articles: article.download() article.parse() print(article.title) print(article.text) python article.nlp() print(article.keywords) print(article.summary) python import nltk from newspaper import Article url = 'https://www.example.com/article' article = Article(url) article.download() article.parse() nltk.pos_tag(article.text.split()) ne_chunk(nltk.pos_tag(article.text.split())) python from textblob import TextBlob url = 'https://www.example.com/article' article = Article(url) article.download() article.parse() blob = TextBlob(article.text) print(blob.sentiment)