keon / awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

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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.