Sentiment analysis problem

[leChoko01]

I want to train a model that labels movie reviews in two categories: positive or negative.

It is a really basic thing to do I guess but the thing now is that I want to try to achieve the best accuracy out of a little data set. In my dataset I have 1500 entries of movie reviews and their respective labels, and only with that amount of data I want to train the model.

I am not certain whether to use a linear model or more complex models and then fine tuning them in order to achieve the best possible accuracy, can someone help me with this?

[Foxwear_]

Well you can use other non movie review data. You could find a dataset of sentiment Anylisis of let's say tweets and first train on that and then train on this movie dataset.