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  • I am using MALLET's topic modelling.

  • I have set of keywords along with weights for a set of documents which I want to train and use the model to infer new documents.

Note: each keyword of the document has weight assigned to it which is similar to tf-idf score.

Based on what I can infer from the documentation, MALLET's topic modelling supports only sequence data and not vector data.

I want to use the weights assigned to each keyword of the document for the analysis. If I don't then each keyword would be treated equally as a result I loose important information while analysing.

  • Any suggestions of how I can use MALLET topic modelling for my data?
sravan_kumar
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  • Hey can you explain how to set the keywords for training and the inference part? – Nivetha Jan 04 '15 at 09:21
  • Look at this question for a way to create documents from a feature vector that are ingestable by mallet: http://stackoverflow.com/questions/28585075/using-topic-modeling-java-toolkit – Sir Cornflakes Jun 05 '15 at 09:30

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