Which kind of model is better for keyword-set classification?

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.

该 issue 未指定文件、测试或入口点。首先查看所引用的文本分类材料，并明确应如何表示和评估关键词集；当就具体的模型方向和实现范围达成一致时，工作即告完成。

由索引模型根据 Issue 内容生成。