Comments (2)
For classification you probably could find models specifically for that task. This could be adapted but I think it would be better suited for unsupervised learning like what we have done in the paper, meaning that your knowledge about the data is vastly more limited compared to supervised learning (No labels). I think there are a lot of models for classification and specifically text classification, LSTMs as well as CNN models.
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Hi @herandy
Thanks a lot for your answer, yeah I was mostly thinking of this in an unsupervised manner. So even if I had the labels, I could use the model's clustering results as an additional input to classification process. The labels we have would mostly help in defining the clusters.
You are right of course, there are loads of other models and I'm using some of them. But none of the has this clustering kind of approach, that could be useful.
But yeah, I'm sure this might mean a complete rehaul even if it is possible, but was worth the ask!
Thanks for the inputs!
Kind regards,
Theodore.
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Related Issues (11)
- about loss function HOT 4
- Closed form solution for Q
- how to get the closed solution of Q from fomular (6) to formular (7) in the paper?
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- TenorFlow version HOT 1
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