{"version":"1.0","type":"rich","title":"Python Utilities for Tweets","description":"This utility module processes raw tweet JSON objects for text analysis. It extracts timestamps via `datetime.strptime`, hashtags, user mentions, and cleaned text by stripping URLs, mentions, and media using entity indices. It further sanitizes punctuation with the `string` module, removes English stopwords from `nltk.corpus`, and applies Lancaster stemming via `nltk.stem.lancaster.LancasterStemmer`. The code demonstrates reusable functions for preparing Twitter data, relying solely on standard Python and NLTK libraries without any visualization or rendering components.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-29fd978e926bb2e728622790fae925af?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}