The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …

Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …

Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Sentiment analysis in social media is harder than in other types of text due to limitations
such as abbreviations, jargon, and references to existing content or concepts. Nevertheless …

Identification of emotion hidden in limited text is an active research problem. This work
presents a framework for the same using email text. The present work is based on machine …

Textual emotion detection is an attractive task while previous studies mainly focused on
polarity or single-emotion classification. However, human expressions are complex, and …

The opinion seeking behavior of people for good decision making has greatly enhanced the
importance of social media as a platform for exchange of information. This trend has led to a …

This paper depends on utilizing twitter for sentiment analysis of the views of people on
COVID-19 vaccines and eagerness to have the jab. An ever increasing number of …

Understanding the user's intention is an essential task for the spoken language
understanding (SLU) module in the dialogue system, which further illustrates vital …