A multi-stage multimodal framework for sentiment analysis of Assamese in low resource setting

作者：

Highlights：

• A multimodal and multi-purpose Assamese news dataset is presented.

• Two models are proposed for visual and textual modality for sentiment classification.

• A multi-stage fusion approach is employed for multimodal sentiment classification.

• Qualitative and quantitative analysis are carried out of the models.

摘要

•A multimodal and multi-purpose Assamese news dataset is presented.•Two models are proposed for visual and textual modality for sentiment classification.•A multi-stage fusion approach is employed for multimodal sentiment classification.•Qualitative and quantitative analysis are carried out of the models.

论文关键词：Multimodal sentiment analysis,Low resource,Assamese language,Fusion,Caption generation,Deep learning

论文评审过程：Received 22 November 2021, Revised 8 May 2022, Accepted 9 May 2022, Available online 16 May 2022, Version of Record 23 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117575