Which kind of model is better for keyword-set classification?
guotong1988 opened this issue · comments
There exists a similar task that is named text classification.
But I want to find a kind of model that the inputs are keyword set. And the keyword set is not from a sentence.
Thank you.
Can you give an example of this kind of problem?
What do you mean by keyword? And why can you not do a direct lookup in your target corpus?
1,
input ["apple", "pear", "water melon"] --> target class "fruit"
input ["tomato", "potato"] --> target class "vegetable"
2,
I want find the better model.
You need a WordNet ontology. This is not a text classification problem.
I am not sure if this is the right forum to ask for help around this.