Closed jpapagelis24 closed 7 months ago
In class on Thursday I'll be asking everyone to briefly describe first steps and next steps for their analyses. Can you please:
Thanks in advance, Nick
Looks great: what value of k
are you thinking about? Perhaps 12? 20? Arbitrary medium sized prime?
@jpapagelis24 can you please share updates on where things as well as let me know if there's anything that you'd like me to look at or comment on over the weekend? As always, please let me know if you run into any issues or need assistance. Thanks in advance, Nick
@jpapagelis24 do you have any updates on this front? Can you please share some preliminary analyses so that I could review before class tomorrow?
Note that I moved the LDA.qmd
file to vignette
and tweaked DESCRIPTION
so that the package build didn't complain (see https://github.com/STAT325-S24/Frankenstein/commit/1f7155ed924e93e3b6f7f04177c4679d2cd54424).
As always, please let me know if you have questions or run into any issues.
@nicholasjhorton Completed most of the analysis for the LDA part. I still have to finish up writitng down the actual results of what I found, but for the most part I have the skeleton of the code done. Still playing around with which k works best for the novel.
See commit: 01f75d7fa676c4b38fb17b23f408d03e71a4ade3 or pdf: https://github.com/STAT325-S24/Frankenstein/blob/main/vignette/LDA.pdf
@nicholasjhorton Here is the commit for the completed LDA analysis: 36d5706ea8da31b3dceab1e429be5d0a2e3d3878 and the pdf: https://github.com/STAT325-S24/Frankenstein/blob/main/vignette/LDA.pdf
This is shaping up really well: nicely done!
I'll share some comments in class.
For my LDA analysis, I will explore a couple of different ways of topic modeling in Frankenstein.