Fig. 3From: TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddingsThe flowchart of this study. First, surveyed dataset was used to train a FastText model and then we used this trained model to generate word embedding vectors. Next, word embedding-based vectors were created. In the end, support vector machine classifier was used for classificationBack to article page