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 …
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 …
in the form of opinions and views about any topic or article, which results in an enormous …
Multimodal sentiment analysis with image-text interaction network
More and more users are getting used to posting images and text on social networks to
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …
Dynamic interactive multiview memory network for emotion recognition in conversation
When available, multimodal data is key for enhanced emotion recognition in conversation.
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Image-text multimodal emotion classification via multi-view attentional network
Compared with single-modal content, multimodal data can express users' feelings and
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …
Ensemble transfer learning-based multimodal sentiment analysis using weighted convolutional neural networks
Huge amounts of multimodal content and comments in a mixture form of text, image, and
emoji are continuously shared by users on various social networks. Most of the comments of …
emoji are continuously shared by users on various social networks. Most of the comments of …
文本情感分析方法研究综述.
王婷， 杨文忠 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
文本情感分析是自然语言处理领域的一个重要分支, 广泛应用于舆情分析和内容推荐等方面,
是近年来的研究热点. 根据使用的不同方法, 将其划分为基于情感词典的情感分析方法 …
是近年来的研究热点. 根据使用的不同方法, 将其划分为基于情感词典的情感分析方法 …
Multimodal sentiment analysis with two-phase multi-task learning
Multimodal Sentiment Analysis (MSA) is a challenging research area that studies sentiment
expressed from multiple heterogeneous modalities. Given those pre-trained language …
expressed from multiple heterogeneous modalities. Given those pre-trained language …
Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture
A Chhabra, DK Vishwakarma - Engineering Applications of Artificial …, 2023 - Elsevier
People increasingly use social media platforms to express themselves by posting visuals
and texts. As a result, hate content is on the rise, necessitating practical visual caption …
and texts. As a result, hate content is on the rise, necessitating practical visual caption …
A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods
B Pan, K Hirota, Z Jia, Y Dai - Neurocomputing, 2023 - Elsevier
Affective computing is one of the most important research fields in modern human–computer
interaction (HCI). The goal of affective computing is to study and develop the theories …
interaction (HCI). The goal of affective computing is to study and develop the theories …