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TextFeatures can be used to create a summary table of occurrences of text features like number of unique words, etc. Don't know if it does nouns or verbs.
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TextStem is used to stem or covert words to their lemma - lemmas being their dictionary roots. There's a function that allows you to create predefined dictionaries - you might be able to merge on them but I don't know if there is additional metadata associated with each word.
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{quanteda} also includes a wrapper for spacy, which can be used to identify word types such as nouns. check this stackoverflow post or the official documentation for more information.
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