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.
Currently, during the processing of the records means there is no insight into where int the dataset it is currently at, this can be improved by giving feedback on the current and total records its process.
Additional progress information will also help about the type of operation being performed.
Currently, during the processing of the records means there is no insight into where int the dataset it is currently at, this can be improved by giving feedback on the current and total records its process.
Additional progress information will also help about the type of operation being performed.
Opened on the back discussions in #1