My dataframe has some free text fields named: {'title', 'description', 'location'}
I prepared this text column by: concatenating all into a new column, dropping numbers, dropping words less than 3 char, etc...
As final step in preparing, I removed Stop Words. So, probably at this moment the column only contains relevant keywords.
How can I convert these keywords sentences (several words per row, as space separated words, in just one string column) into dummy columns and get the 0-1 values when, per row, this column contains the keyword?
I was checking the CountVectorizer object, but I couldn't find any use case like this one. So, it is probably not the proper tool to use...