There are several models implemented currently. The best performing is at the moment the Naive Bayes algorithm.
Parameters should be under the section
SKLearn Naive Bayes model. Only works in combination with the tfidf feature extraction model. Though relatively simplistic, seems to work quite well on a wide range of datasets.
LSTM model that consists of an embedding layer, LSTM layer with one output, dense layer, and a single sigmoid output node. Use the embedding-lstm feature extraction method. Currently not so well optimized and slow.