## Function Documentation

### make-text-object (words &key (url "") (title ""))

This is the main entry point for the NLP library. It takes a string of words (or a list of words) and returns a `text` object. The `text` object contains the original text, part-of-speech tags, human names, place names, company names, category tags, and a summary.

### find-names-places (txt-object)

This function finds human and place names in a `text` object. It returns a list of two lists: the first list contains human names, and the second list contains place names.

### summarize (txt-obj)

This function generates a summary of the text in a `text` object. It ranks sentences based on word frequency and returns the most important ones.

### get-word-list-category (words)

This function assigns category tags to a list of words. It returns a list of categories with their scores.