I have a large data set with over a million products. The NLP results look like this:
A random row (reshaped) looks like this:
The dataframe (image) contains information derived from the tokenization of a single product (" Dipperwell Faucet with Drain Stainless Steel Bowl Inner Overflow Cup").
Is it possible to predict the word "faucet" given the NLP output. The ML algorithms I am familiar with usually are in a format
Prediction~ Predictor 1+ Predictor 2.. etc..
In this case , the predictors are columns and the predicted value is a cell