Emotions are vital for identifying an individual's attitude and mental condition. Detecting and
classifying emotions in Natural Language Processing applications can improve Human …

Social media has seen enormous growth in its users recently and knowingly or unknowingly
the behavior of a person will be reflected in the comments she/he posts on social media …

Human interaction in natural language with computer systems has been a prime focus of
research, and the field of conversational agents (including chatbots and Interactive Voice …

In this work, we present the use of one artificial intelligence (AI) application (ChatGPT) to
train another AI-based application. As the latter one, we show a dialogue system named …

Currently, most chatbots are unable to detect the emotional state of the interlocutor and
respond according to the interlocutor's emotional state. Over the last few years, there has …

The article presents the results of work on improving sentiment and emotion recognition for
Polish texts using a big data-based expansion process and larger neural language models …

Emotion plays a vital part in the life of humankind. Emotion Recognition (ER) is the
necessary task to find one's inner Emotion through speech, text or face. ER process has …

Emotion recognition is a vital task within Natural Language Processing (NLP) that involves
automatically identifying emotions from text. As the need for specialized and nuanced …

Emotion detection holds significant importance in facilitating human–computer interaction,
enhancing the depth of engagement. By integrating this capability, we pave the way for …

The article presents initial experiences using Terabot, a task-oriented spoken dialogue
system, in a psychiatric clinical study. Seven patients conversed with the system, having five …