Progress, achievements, and challenges in multimodal sentiment analysis using deep learning: A survey
A Pandey, DK Vishwakarma - Applied Soft Computing, 2024 - Elsevier
Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …
A Literature Review of Video-Sharing Platform Research in HCI
Video-sharing platforms (VSPs) such as YouTube, TikTok, and Twitch have grown rapidly in
recent years and attracted millions of users. Research topics such as online communities …
recent years and attracted millions of users. Research topics such as online communities …
How vloggers embrace their viewers: Focusing on the roles of para-social interactions and flow experience
CL Hsu - Telematics and Informatics, 2020 - Elsevier
Social media allow marketers to directly influence consumers through a diverse set of tools.
The characteristics of individual platforms enable the development of creative and …
The characteristics of individual platforms enable the development of creative and …
Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
Automated analysis and prediction of job interview performance
We present a computational framework for automatically quantifying verbal and nonverbal
behaviors in the context of job interviews. The proposed framework is trained by analyzing …
behaviors in the context of job interviews. The proposed framework is trained by analyzing …
Personality recognition by modelling person-specific cognitive processes using graph representation
Recent research shows that in dyadic and group interactions individuals' nonverbal
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
behaviours are influenced by the behaviours of their conversational partner (s). Therefore, in …
First impressions: A survey on vision-based apparent personality trait analysis
Personality analysis has been widely studied in psychology, neuropsychology, and signal
processing fields, among others. From the past few years, it also became an attractive …
processing fields, among others. From the past few years, it also became an attractive …
Self-supervised learning of person-specific facial dynamics for automatic personality recognition
This article aims to solve two important issues that frequently occur in existing automatic
personality analysis systems: 1. Attempting to use very short video segments or even single …
personality analysis systems: 1. Attempting to use very short video segments or even single …
Dyadformer: A multi-modal transformer for long-range modeling of dyadic interactions
Personality computing has become an emerging topic in computer vision, due to the wide
range of applications it can be used for. However, most works on the topic have focused on …
range of applications it can be used for. However, most works on the topic have focused on …
Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition
Here, we develop an audiovisual deep residual network for multimodal apparent personality
trait recognition. The network is trained end-to-end for predicting the Big Five personality …
trait recognition. The network is trained end-to-end for predicting the Big Five personality …