How to show topics of reuters dataset in Keras?

Question

I use reuters dataset in Keras.

And I want to know the 46 topics' names.

How can I show topics of reuters dataset in Keras?

https://keras.io/datasets/#reuters-newswire-topics-classification

Answer 1

Associated mapping of topic labels as per original Reuters Dataset with the topic indexes in Keras version is:

['cocoa','grain','veg-oil','earn','acq','wheat','copper','housing','money-supply',
 'coffee','sugar','trade','reserves','ship','cotton','carcass','crude','nat-gas',
 'cpi','money-fx','interest','gnp','meal-feed','alum','oilseed','gold','tin',
 'strategic-metal','livestock','retail','ipi','iron-steel','rubber','heat','jobs',
 'lei','bop','zinc','orange','pet-chem','dlr','gas','silver','wpi','hog','lead']

To understand the approach of extracting the above mapping, please follow this thread comment.