How to optimize a model in a text classification task?

Question

I am training a text classifier, using TextCNN, as a result, the precision is low(0.6), while the recall is high (0.9), as a fresher in deep-learning, I can not find the optimizing methods to raise the recall, I know I should observe the training data, check if the model is feeded with the related data. but is there others reasons? is there some guide for model optimization？