# Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/multimodal-sentiment-analysis-a-systematic-review-of-history-datasets-multimodal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ankita Gandhi,Kinjal Adhvaryu,Soujanya Poria,Erik Cambria,Amir Hussain |
| Citations | 732 |
| DOI | 10.1016/j.inffus.2022.09.025 |
| Fields | Computer Science,Psychology |
| Open Access | true |
| OA Status | green |
| OA URL | https://napier-repository.worktribe.com/file/3000969/1/Multimodal%20sentiment%20analysis%3A%20A%20systematic%20review%20of%20history%2C%20datasets%2C%20multimodal%20fusion%20methods%2C%20applications%2C%20challenges%20and%20future%20directions%20%28accepted%20version%29 |
| OpenAlex ID | https://openalex.org/W4297499129 |
| Type | review |
| Year | 2022 |

## Paper authors

- [Amir Hussain](https://scholariq.org/researchers/amir-hussain/)

## Paper primary topic

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)

## Paper topics

- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Advanced Text Analysis Techniques](https://scholariq.org/topics/advanced-text-analysis-techniques/)
- [Emotion and Mood Recognition](https://scholariq.org/topics/emotion-and-mood-recognition/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.