VISUAL AND TEXTUAL SENTIMENT ANALYSIS USING DEEP FUSION CONVOLUTIONAL NEURAL NETWORKS
Table 2: Results of our method on MVSO-EN dataset.
['[BOLD] Methods Baseline', '[BOLD] Methods ST', '[BOLD] Prec. 0.654', '[BOLD] Rec. 0.671', '[BOLD] F1 0.662', '[BOLD] Acc. 0.667']
To our best knowledge, this is the first performance report on MVSO data with all textual and visual information used. We used the same experimental setting to VSO, however obtained worse results than VSO. This is mainly because the MVSO-EN dataset contains much more noise than VSO.