Text mining the Anonymous Marking Audit Trail which can be exported to a Microsoft Excel spreadsheet file by a Turnitin administrator.
Text Mining the Anonymous Marking Audit Trail Tutorial by Fiona MacNeill is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://www.sthda.com/english/wiki/text-mining-and-word-cloud-fundamentals-in-r-5-simple-steps-you-should-know. Text mining and word cloud fundamentals in R : 5 simple steps you should know by STHDA (CC BY-NC-SA 3.0 US).
Read the online tutorial here: ../master/tmtutorial.md
Or download the PDF version of the tutorial here: ../master/wordcloud_tutorial.pdf
Download tutorial materials, including the R Markdown file and simulated sample data here.
Information to verify the zip file -
md5: 1766f38d9f45a74e4ac13663d6fd6882
sha1: 6dc38dbca11f6be7ac2b43aeb08c720f6d677bd
How to check md5 and sha1 on a Mac (YouTube Video):
Yes, you do get something pretty at the end, but this tutorial is also about gaining an understanding of the data.
You have access to data from the Anonymous Marking Audit Excel file which can you download from the Turnitin administrative account. You would like to find out if there are any patterns in this text-based data and whether there are any misconceptions about anonymous marking.