LDA placing weights on topics
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Hi everyone,
Is there a known method or previous work on how to assign weights to topics obtained from the LDA algorithm and combine them into a single weighted topic vector? I have come across the Term Frequency-Inverse Document Frequency (tf-idf) matrix, which is integrated into MATLAB but requires the use of the bagofwords() expression. I have also searched for information on UMass and CV, but it doesn't seem to be available in any of the toolboxes (please correct me if I'm wrong).
Therefore, I would be more than grateful for any recommendations or tips. Many thanks!
Rob
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Pranjal Saxena
am 19 Jul. 2023
Hi Rob,
I understand that you want to assign weight to topics obtained from LDA algorithm and combine them into a single weighted topic vector.
MATLAB provides the “bagOfWords” function and the “tfidf” function in the “Text Analytics Toolbox”, which allows you to calculate tf-idf weights for a collection of documents. You can use these functions to create a tf-idf matrix and apply it to the topics obtained from LDA.
I would like to suggest you refer to the following MATLAB documentations for more information about it.
I hope this helps you.
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