cleannlp

A basic guide to using NLP for corpus analysis with R (Part 2): Processing text files

1 . Processing text files 1.1 . Annotate a single text 1.2 . Annotate all files in a folder 2 . Describing data 2.1 . Frequency tables 2.2 . Basic visualization If you’re working with language data, you probably want to process text files rather than strings of words you type on to an R script. Here is how to deal with files. Refer to the previous post for setting the tools up if needed.

A basic guide to using NLP for corpus analysis with R (Part 1): Installing Python, spacy, and cleanNLP

1 . Installing Python 1.1 . Download Python 1.2 . Install Python 1.3 . Test if Python works 2 . Installing NLP backend: spaCy 2.1 . Install spacy 2.2 . Download language models 3 . Getting ready with RStudio 3.1 . Install all requirements 3.2 . Processing a text string This is Part 1 of a basic guide for setting up and using a natural language processing (NLP) tool with R.