{"version":"1.0","type":"rich","title":"Part-of-speech clarifier from nltk","description":"This visualization example uses the Natural Language Toolkit’s `pos_tag` and `str2tuple` functions to map part-of-speech tags from the Penn Treebank to plain-English definitions. The `clarify_pos` function accepts a tag string and returns a human-readable description, such as “conjunction, coordinating” for “CC” or “determiner” for “DT.” The code is designed to apply directly to pandas DataFrames via a `.apply()` call, creating a new column that translates each tag for easier analysis. The mapping covers common tags including nouns, verbs, adjectives, adverbs, pronouns, and prepositions.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-04d53ca14f851b595ab05b07f1ae4aeb?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}