Vista Net

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19
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This is the code for the paper:

VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
Quoc-Tuan Truong and Hady W. Lauw
Presented at AAAI 2019

We provide:

  • Code to train and evaluate the model
  • Data used for the experiments

If you find the code and data useful in your research, please cite:

  title={Vistanet: Visual aspect attention network for multimodal sentiment analysis},
  author={Truong, Quoc-Tuan and Lauw, Hady W},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},


  • Python 3
  • Tensorflow >=1.12,<2.0
  • Tqdm
  • GloVe word embeddings

How to run

  1. Make sure the data is ready. Run script to pre-process the data:
  1. Train VistaNet:
python --hidden_dim 50 --att_dim 100 --num_images 3 --batch_size 32 --learning_rate 0.001 --num_epochs 20


Questions and discussion are welcome:

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