A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.
Would like to discuss if a high level topic modelling method would be of functional use. If yes, I would also like to discuss potential methods for the same.
Please show some examples of how you would like this to work given our current input and output flows are visible in the notebooks (and links to external ones) provided on this repo.
Would like to discuss if a high level topic modelling method would be of functional use. If yes, I would also like to discuss potential methods for the same.