{"version":"1.0","type":"rich","title":"Buzzfeed article scraper for NLP","description":"This example scrapes a Buzzfeed article and converts its text into clean, tokenized sentences for natural language processing. It shows the pipeline from raw HTML to normalized, sentence-segmented data. The scraper uses BeautifulSoup and requests to extract paragraph elements with the class `subbuzz-text`. Text cleaning relies on the `unicodedata` module and regex via `re`, while sentence tokenization uses NLTK’s Punkt tokenizer. The final output is a single string of joined sentences, ready for further NLP analysis.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-40216ded24eadbc9342e679a579cadd1?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}