Using dictionaries to check text in R, language processing

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  1. textfeatures

    👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

    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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  3. textstem

    Tools for fast text stemming & lemmatization

    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.

  4. spacyr

    R wrapper to spaCy NLP

    {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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