Work

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

Year: 2022

Type: review

Source: Information Fusion

DOI: 10.1016/j.inffus.2022.09.025

Authors: Ankita Gandhi, Kinjal Adhvaryu, Soujanya Poria, Erik Cambria, Amir Hussain

Institutions: Gujarat Technological University, Singapore University of Technology and Design, Nanyang Technological University, Edinburgh Napier University

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Ministry of Education - Singapore, Engineering and Physical Sciences Research Council

Awards: Natural Language Generation for Low-resource Domains, COG-MHEAR: Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids, Towards visually-driven speech enhancement for cognitively-inspired multi-modal hearing-aid devices (AV-COGHEAR), G625946973

OpenAlex ID: W4297499129

FWCI: 9.887

Cites: 99

Cited by: 854

Related to: 10