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My aim would be to show TF.IDF in action to my students.
When connecting a corpus to a bag of words and the bag of words to a data table (or even better to a word cloud), I would expect that changing the document frequency parameter in the bag of words from none to IDF would change the result (hiding common words in the language like "the", similarly to a stop words preprocessing, but also hiding words common to the corpus like "queen" for a tales corpus).
Actual behavior
Changing the parameter doesn't seem to change anything in the result. @ajdapretnar explained the following in a related ticket (biolab/orange3#3426):
(...) for the Data Table, you should definitely see the changes when using the IDF transformation.
Word Cloud, however, is currently implemented in a way that it shows frequent tokens, that are a separate property from a table, which is constructed from a bag of words. That said, your idea sounds interesting, since I cannot think of a good way to sort words by IDF frequencies. Could you perhaps open a feature request on our issue tracker
The text was updated successfully, but these errors were encountered:
benel
changed the title
How to visualize the difference between TF and TF.IDF on a bag of words
How to visualize the difference between TF and TF.IDF on a bag of words?
Nov 29, 2018
Thank you for opening this. I normally show IDF in a Data Table as seen below. But you are making a point. Having a hidden token attribute is a big confusing for users and showing this in a Word Cloud could have a nice educational value.
IDF in action, even though in a slightly confusing sparse format:
ajdapretnar
changed the title
How to visualize the difference between TF and TF.IDF on a bag of words?
[ENH] Show IDF results in a Word Cloud
Nov 29, 2018
Text version
0.5.2
Orange version
3.16
Expected behavior
My aim would be to show TF.IDF in action to my students.
When connecting a
corpus
to abag of words
and thebag of words
to adata table
(or even better to aword cloud
), I would expect that changing thedocument frequency
parameter in thebag of words
fromnone
toIDF
would change the result (hiding common words in the language like "the", similarly to a stop words preprocessing, but also hiding words common to the corpus like "queen" for a tales corpus).Actual behavior
Changing the parameter doesn't seem to change anything in the result.
@ajdapretnar explained the following in a related ticket (biolab/orange3#3426):
The text was updated successfully, but these errors were encountered: