Exploratory data analysis of survey results on tokenizing product passports for circular construction; includes a bit of NLP on open responses
This was the R code I've been using for a conference paper submitted to EC3 (paper publication pending acceptance). A survey was issued consisting of 30 questions that were Likert-based, multiple choice, and open text. Thus, different analyses were used.
For the open text responses I used LDA topic modeling, an NLP technique, for extracting themes from each "document".
I used R Studio, should be relatively easy to adapt. The permanent link to the anonymized survey data can be found at https://doi.org/10.3929/ethz-b-000656624