分类器模型,用于通过数学运算对文本进行分类

时间:2020-04-17 14:14:13

标签: keras deep-learning nlp classification

我正在尝试使用数学运算对文本进行分类。不想在操作本身之间进行分类。问题之一是训练数据的创建。 几个例子

1) The formula used is for every day's new cases / new cases on the previous day.
2) Growth factor is the factor by which a quantity multiplies itself over time.
3) Total tax paid is the sum of both direct and indirect taxes paid.
3) Profit is the difference between total cost incurred to selling price.
4) Profit = Selling price - Incurred Cost.
5) Less than 4% of taxpayers pay 60% of the tax income.

有没有可以使用的现有模型。任何朝着这个方向发展的指针都有帮助吗?

0 个答案:

没有答案