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

A Gandhi, K Adhvaryu, S Poria, E Cambria, A Hussain - Information Fusion, 2023 - Elsevier
Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …

A survey on sentiment analysis methods, applications, and challenges

M Wankhade, ACS Rao, C Kulkarni - Artificial Intelligence Review, 2022 - Springer
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Multimodal sentiment analysis based on fusion methods: A survey

L Zhu, Z Zhu, C Zhang, Y Xu, X Kong - Information Fusion, 2023 - Elsevier
Sentiment analysis is an emerging technology that aims to explore people's attitudes toward
an entity. It can be applied in a variety of different fields and scenarios, such as product …

Multimodal sentiment analysis: a survey of methods, trends, and challenges

R Das, TD Singh - ACM Computing Surveys, 2023 - dl.acm.org
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …

A comprehensive survey on sentiment analysis: Approaches, challenges and trends

M Birjali, M Kasri, A Beni-Hssane - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

[HTML][HTML] Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review

JR Jim, MAR Talukder, P Malakar, MM Kabir… - Natural Language …, 2024 - Elsevier
Sentiment analysis is a method within natural language processing that evaluates and
identifies the emotional tone or mood conveyed in textual data. Scrutinizing words and …

Sentiment analysis using deep learning architectures: a review

A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review

J Zhang, Z Yin, P Chen, S Nichele - Information fusion, 2020 - Elsevier
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …

Machine learning algorithms for social media analysis: A survey

TK Balaji, CSR Annavarapu, A Bablani - Computer Science Review, 2021 - Elsevier
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …