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

Question

is there any way to implement a machine learning model that can predict the topmost occurred sentences in a given dataset? let's say I have a dataset that contains sentences like this.

-> 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. Build a Deep Neural Network for Sentiment Classification.

Answer 1

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).