The human side of human-chatbot interaction: A systematic literature review of ten years of research on text-based chatbots
Over the last ten years there has been a growing interest around text-based chatbots,
software applications interacting with humans using natural written language. However …
software applications interacting with humans using natural written language. However …
Transformer models for text-based emotion detection: a review of BERT-based approaches
We cannot overemphasize the essence of contextual information in most natural language
processing (NLP) applications. The extraction of context yields significant improvements in …
processing (NLP) applications. The extraction of context yields significant improvements in …
Multimodal emotion recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.
Robots are transforming the nature of human work. Although human–robot collaborations
can create new jobs and increase productivity, pundits often warn about how robots might …
can create new jobs and increase productivity, pundits often warn about how robots might …
Deep learning based multimodal emotion recognition using model-level fusion of audio–visual modalities
Emotion identification based on multimodal data (eg, audio, video, text, etc.) is one of the
most demanding and important research fields, with various uses. In this context, this …
most demanding and important research fields, with various uses. In this context, this …
[PDF][PDF] Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
Text‐based emotion detection: Advances, challenges, and opportunities
Emotion detection (ED) is a branch of sentiment analysis that deals with the extraction and
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …
analysis of emotions. The evolution of Web 2.0 has put text mining and analysis at the …
[HTML][HTML] Speech emotion recognition using machine learning—A systematic review
Speech emotion recognition (SER) as a Machine Learning (ML) problem continues to
garner a significant amount of research interest, especially in the affective computing …
garner a significant amount of research interest, especially in the affective computing …
Customer emotions in service robot encounters: A hybrid machine-human intelligence approach
Understanding consumer emotions arising from robot-customers encounters and shared
through online reviews is critical for forecasting consumers' intention to adopt service robots …
through online reviews is critical for forecasting consumers' intention to adopt service robots …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …