Closed gabrielparriaux closed 1 year ago
I'm not really familiar with these methods, but if I understand the first figure correctly, in this case your Y
table would be the document-feature matrix (documents as rows, terms as columns), and your X
table would be the docvars()
of your corpus (documents as rows, metadata variables as columns) ?
So in theory you could use FactoMineR::CaGalt
on these two tables ?
Yes, this is correct: Y
table would be the document-feature matrix and X
table would be the docvars()
. And yes again, in theory I think I could use FactoMineR::CaGalt
on those two.
I wanted to know if you thought that it was the proper way to do it or if there was a better solution. I will try to do it that way! Thank you for helping!
After having done a Reinert's clustering with rainette, I would like to do a Multiple Correspondence Analysis (MCA) that crosses the words of the lexicon (or a part of them) with other categorical variables (the clusters, but also other docvars that I have about my documents).
I have seen your answer to another question where you show how to perform MCA that crosses clusters with categorical variables, it’s nice and it works perfectly.
But how could I do such an analysis with all the lexicon instead of just the clusters?
In my understanding, we have to create a table that joins a frequency table (with the words) and a categorical variables table like in this example, having the documents (or segments) as rows.
In the literature, I have seen two kind of solutions:
— Cibois who proposes to create or a Burt table or a "lexical table of the questions" (tableau lexical des questions in French)
Cibois, P. (1990). Éclairer le vocabulaire des questions ouvertes par les questions fermées : Le tableau lexical des questions. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 26(1), 12‑21.
— Bécue Bertaut and colleagues who designed a special method (CA-GALT method) to deal with those cases (the first image is taken from their article)
Kostov, B. A., Bécue Bertaut, M. M., & Husson, F. (2015). Correspondence analysis on generalised aggregated lexical tables (CA-GALT) in the FactoMineR package. R Journal, 7(1), 109‑117.
I’m not sure of the way to deal with it.
Do you have any idea about that?
Sorry for the question if it’s off topic regarding rainette… (it’s a kind of continuation)
Thanks a lot for helping!