Groups > comp.lang.python > #197190

How to weight terms based on semantic importance

From	marc nicole <mk1853387@gmail.com>
Newsgroups	comp.lang.python
Subject	How to weight terms based on semantic importance
Date	2025-01-15 18:40 +0100
Message-ID	<mailman.80.1736963341.2912.python-list@python.org> (permalink)
References	<CAGJtH9TYE-MEqSUHWO-JW5j-d2CtUqet7A_R2fn7A25iScGpFg@mail.gmail.com>

Show all headers | View raw

Hello,

I want to weight terms of a large text based on their semantics (not on
their frequency (TF-IDF)).
Is there a way to do that using NLTK or other means? through a vectorizer?

For example: a certain term weights more than others etc...

Thanks

Back to comp.lang.python | Previous | Next | Find similar

Thread

How to weight terms based on semantic importance marc nicole <mk1853387@gmail.com> - 2025-01-15 18:40 +0100

csiph-web