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I think you'd be surprised to find out that for a pretty large amount of classification problems, tf idf and Bayes naive classifiers do equally as good or almos
by make3 9y ago
I think you'd be surprised to find out that for a pretty large amount of classification problems, tf idf and Bayes naive classifiers do equally as good or almost as good but with less variance than deep nets.
also afaik fastext is just a faster way to build embeddings that are mostly equivalent to word2vec
All and all, I'm not sure you're enough of an expert to be commenting on this
- nl 9y ago1) No, they don’t. Eg, on the current Toxic comment classification TF-IDF and Bayes models are about 20% worse than RNN models. 2) FastText is also a classification algorithm, a command line classifier and a set of pretrained embeddings. 3) Yes, he does. I’ve learnt from his notebooks before, and I am confident I’m qualified to judge. I don’t completely agree with his statement here, but he is well qualified to comment.
- make3 9y ago1) I'm saying, depends on the size of the datasets