[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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