Thread:
🚨Software Publication Alert🚨
This one is for you, text-analysis folks:

I am very happy to share the publication of my text annotation R-package "handcodeR" 🥳, which is now available on CRAN. 🧵1/7

CRAN.R-project.org/package=handcoge=handcodeR

#CRAN #rstats #TextAsData #TextAnnotation

Working with R, I always struggled to find a suitable open-source tool for manual text annotation. While there are some Python- and R-based Apps, no tool I tried really suited my purposes. Instead, I often resolved to using Excel-spreadsheets to manually classify sentences. 2/7
Finally, I just wrote my own tool – the handcodeR. The package comes with one function, handcode(), which opens a Shiny App in which you can click through a vector of texts and classify according to pre-set variables. The function returns a data frame with your annotations. 3/7
To make the handcodeR a more versatile tool for manual text annotation, handcode() comes with several options that let you customize your annotation process. First, the handcodeR can take up to 6 different input variables you want to use in your classification. 4/7
Further, you can display sentences alongside their previous and following sentences to provide coders with more context, randomize the order in which texts are displayed, stop the annotation process and resume at a later time, and customize different missing values. 5/7
If you want to see a step-by-step guide of how to use the handcodeR, you can check it out at https://github.com/liserman/handcodeR. 6/7
GitHub - liserman/handcodeR: R-Package to fascilitate the annotation of textdata by hand in R

R-Package to fascilitate the annotation of textdata by hand in R - GitHub - liserman/handcodeR: R-Package to fascilitate the annotation of textdata by hand in R

GitHub
I hope this tool is not just helpful for my own purposes (and make the lives of my student assistants a little easier), but will also make text annotation easier for some of you. If you have any feedback on the App or ideas for improvement, reach out or contribute via github. 7/7
@liserman Oh wow I am going to check this package out. This is much needed. I was looking for a replacement to RQDA.