Combining text and numerical data in ULMFiT

[quan.tran]

There are few resources for this. One is from this post where tabular and text is combined for Spanish

I also figured a way to combine metadata (numerical and categorical) with text and tested it out with some Kaggle dataset and it seems to work. I hope it’s somewhat related to your case

Build mixed databunch and train end-to-end model for Tabular (categorical + continuous data) and Text data

Hi everyone, So I have been searching for a way to combine and train tabular + text data with all the good stuff from fastai (databunch api, 1 cycle training, callbacks …) to do some Kaggle competitions and came across this awesome blog post by @wgpubs in which he created a tabular + text databunch using databunch API. I changed few line of codes to get it to work on fastai 1.0.51+ and then built a custom model to combine RNN/LSTM and MLP (neural net layers) for end-to-end training. Tested on K…