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 …
Multimodal sentiment analysis: A survey and comparison
R Kaur, S Kautish - Research anthology on implementing sentiment …, 2022 - igi-global.com
Multimodal sentiments have become the challenge for the researchers and are equally
sophisticated for an appliance to understand. One of the studies that support MS problems is …
sophisticated for an appliance to understand. One of the studies that support MS problems is …
A survey of multimodal sentiment analysis
Sentiment analysis aims to automatically uncover the underlying attitude that we hold
towards an entity. The aggregation of these sentiment over a population represents opinion …
towards an entity. The aggregation of these sentiment over a population represents opinion …
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 …
Affective image content analysis: Two decades review and new perspectives
Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …
the rapid advancement of emotional intelligence and the explosive growth of visual data …
Deepsentibank: Visual sentiment concept classification with deep convolutional neural networks
This paper introduces a visual sentiment concept classification method based on deep
convolutional neural networks (CNNs). The visual sentiment concepts are adjective noun …
convolutional neural networks (CNNs). The visual sentiment concepts are adjective noun …
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 …
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 …
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 …
Visual sentiment prediction based on automatic discovery of affective regions
Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions via images and videos online. This …
with the increasing tendency of expressing opinions via images and videos online. This …