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3D-CNN Architecture for visual cues feature extraction)

3D-CNN Architecture for visual cues feature extraction)

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Fig. 1: A generic multimodal sentiment analysis framework [24]
Fig. 3: Bidirectional LSTM architecture for Textual-cues feature extraction
Fig. 4: Acoustic cues feature extraction
Fig. 6: Early (Feature-level) Fusion
+7 Fig. 7: Late (Decision-Level) Fusion
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
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  • Mar 2021
Most recent works on sentiment analysis have exploited the text modality. However, millions of hours of video recordings posted on social media platforms everyday hold vital unstructured information that can be exploited to more effectively gauge public perception. Multimodal sentiment analysis offers an innovative solution to computationally under...
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... our experiments, the best results are obtained with a 9-layered 3D-CNN architecture as illustrated in Fig. 5. The architecture details are presented in Table 4. ...

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