Attention based convolutional residual squeeze excited capsule network for aspect based sentiment classification in Malayalam movie reviews

Key Points

• Aspect-based sentiment classification achieves improved accuracy with an attention mechanism.
• The model utilizes a convolutional residual architecture combined with capsule networks to refine sentiment detection.
• Employing advanced deep learning techniques, including squeeze excitation, optimizes feature representation in reviews.
• Findings suggest this model can enhance analysis of sentiment across various cultural contexts in media.