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有没有办法实现机器学习 model 可以预测给定数据集中出现次数最多的句子

[英]is there any way to implement a machine learning model that can predict most occured sentence in a given dataset

is there any way to implement a machine learning model that can predict the topmost occurred sentences in a given dataset?有什么方法可以实现机器学习 model 可以预测给定数据集中出现最多的句子? let's say I have a dataset that contains sentences like this.假设我有一个包含这样的句子的数据集。

-> this is a machine learning model.
-> this is a machine learning model.
-> A language model can predict the probability of the next word in the sequence.
-> Build a Deep Neural Network for Sentiment Classification.
-> this is a machine learning model.
-> Build a Deep Neural Network for Sentiment Classification.

so the model should predict results like: this is a machine learning model.所以 model 应该预测结果如下:这是机器学习 model。 Build a Deep Neural Network for Sentiment Classification.构建用于情感分类的深度神经网络。

There is no model required, you can use sentence frequency for it(derive the frequency threshold based on the analysis or give the head 2(or) 3 based on requirement).不需要model,可以使用句频(根据分析推导频率阈值或根据需要给头部2(或)3)。

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