For each dataset, we report three best systems for the comparisons 2 .
we compare with the following systems: Bag of Feature -Multimodal Sentiment Analysis (BoF-MSA) (Blanchard et al., 2018), Memory Fusion Network (MFN) (Zadeh et al., 2018b), Deep Fusion -Deep Neural Network (DF-DNN) (Nojavanasghari et al., 2016), Multi View -LSTM (MV-LSTM) (Rajagopalan et al., 2016), Early Fusion -LSTM (EF-LSTM) (Zadeh et al., 2018c), Tensor Fusion Network (TFN) , Random Forest (RF) (Breiman, 2001), Support Vector Machine (Zadeh et al., 2016), Multi-Attention Recurrent Network (MARN) (Zadeh et al., 2018a), Dynamic Fusion Graph (DFG) (Zadeh et al., 2018c), Multi Modal Multi Utterance-Bimodal Attention (MMMU-BA) (Ghosal et al., 2018), Bi-directional Contextual LSTM (BC-LSTM) (Poria et al., 2017b) and Multimodal Factorization Model (MFM) (Tsai et al., 2018).