Dear Friends,
I have created a new video tutorial focused on building a custom function in R to streamline text processing workflows.
The video covers how to integrate various R packages to automate the transformation of raw text files. I walk through essential steps, including converting text to lowercase, performing lemmatization, and transitioning the data into a corpus. From there, I demonstrate how to generate quanteda tokens for thorough text cleaning and finally convert the processed data into a Document-Feature Matrix (DFM).
This custom function is designed to make your text analysis more efficient by consolidating multiple preprocessing steps into one reusable tool. I believe this will be a valuable resource for anyone looking to enhance their data cleaning process in R.
I've explained the same in this video: