Multimodal sentiment analysis: a survey of methods, trends, and challenges
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 …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
A comprehensive survey on deep learning-based approaches for multimodal sentiment analysis
A Ghorbanali, MK Sohrabi - Artificial Intelligence Review, 2023 - Springer
Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …
applications in various fields. The increasing popularity of social networks and growth and …
Cross-modal multitask transformer for end-to-end multimodal aspect-based sentiment analysis
As an emerging task in opinion mining, End-to-End Multimodal Aspect-Based Sentiment
Analysis (MABSA) aims to extract all the aspect-sentiment pairs mentioned in a pair of …
Analysis (MABSA) aims to extract all the aspect-sentiment pairs mentioned in a pair of …
Twitter sentiment analysis with a deep neural network: An enhanced approach using user behavioral information
ASM Alharbi, E de Doncker - Cognitive Systems Research, 2019 - Elsevier
Sentiment analysis on social media such as Twitter has become a very important and
challenging task. Due to the characteristics of such data—tweet length, spelling errors …
challenging task. Due to the characteristics of such data—tweet length, spelling errors …
Vision-language pre-training for multimodal aspect-based sentiment analysis
As an important task in sentiment analysis, Multimodal Aspect-Based Sentiment Analysis
(MABSA) has attracted increasing attention in recent years. However, previous approaches …
(MABSA) has attracted increasing attention in recent years. However, previous approaches …
A survey on sentiment analysis and opinion mining for social multimedia
Z Li, Y Fan, B Jiang, T Lei, W Liu - Multimedia Tools and Applications, 2019 - Springer
Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …
people's opinions, attitudes and emotions from social networks has become a research …
Entity-sensitive attention and fusion network for entity-level multimodal sentiment classification
Entity-level (aka target-dependent) sentiment analysis of social media posts has recently
attracted increasing attention, and its goal is to predict the sentiment orientations over …
attracted increasing attention, and its goal is to predict the sentiment orientations over …
Hierarchical interactive multimodal transformer for aspect-based multimodal sentiment analysis
Aspect-based multimodal sentiment analysis (ABMSA) aims to determine the sentiment
polarities of each aspect or entity mentioned in a multimodal post or review. Previous studies …
polarities of each aspect or entity mentioned in a multimodal post or review. Previous studies …
Boosting image sentiment analysis with visual attention
Sentiment analysis plays an important role in behavior sciences, which aims to determine
the attitude of a speaker or a writer regarding some topic or the overall contextual polarity of …
the attitude of a speaker or a writer regarding some topic or the overall contextual polarity of …
Learning visual sentiment distributions via augmented conditional probability neural network
Visual sentiment analysis is raising more and more attention with the increasing tendency to
express emotions through images. While most existing works assign a single dominant …
express emotions through images. While most existing works assign a single dominant …