graykode / nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers
https://www.reddit.com/r/MachineLearning/comments/amfinl/project_nlptutoral_repository_who_is_studying/
MIT License
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Which kind of model is better for keyword-set classification? #43

Open guotong1988 opened 4 years ago

guotong1988 commented 4 years ago

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.

For example:

input ["apple", "pear", "water melon"] --> target class "fruit"
input ["tomato", "potato"] --> target class "vegetable"

Another example:

input ["apple", "Peking", "in summer"]  -->  target class "Chinese fruit"
input ["tomato", "New York", "in winter"]  -->  target class "American vegetable"
input ["apple", "Peking", "in winter"]  -->  target class "Chinese fruit"
input ["tomato", "Peking", "in winter"]  -->  target class "Chinese vegetable"

Thank you.