I have assembled a large amount of text for a research project. The text is stored in .docx files (not ideal, I know, but the best option given the source) which are nested in a series of folders (-70). Each document starts with a section of metadata, followed by the main text, and concluding with another section of metadata.
I would like to create a function in R that will take as input a directory location, scan that directory for all .docx files (a package exists to do that part), separate the different documents, identify the main text of each document and separate out both sections of the metadata, parse the metadata for several important categories and populate columns with those values, paste the metadata itself into separate columns, then reassemble a data frame where the main text has been separated out from the metadata.
The deliverable is therefore an R script for this function. A freelancer who is experienced and comfortable with working in R, specifically with text-as-data and writing simple loops and function, is required.
I use R for basic dataset construction, variable manipulation, and statistical modeling, but am inexperienced at writing loops and functions. I have written up code that accomplishes the things I want to accomplish on a single document that can be used as a guide. I am also happy to provide more information about the data itself to answer any questions.
About the recuiterMember since Jul 8, 2017 Severine T.
from Scotland, United Kingdom