Multimodal sentiment analysis has emerged as a prominent research field within artificial
intelligence, benefiting immensely from recent advancements in deep learning. This …

Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …

Handwritten character recognition systems are used in every field of life nowadays,
including shop** malls, banks, educational institutes, etc. Urdu is the national language of …

Emotion detection (ED) from noisy or unstructured text data is a challenging and active area
of research in natural language processing as the text contains irrelevant information like …

In the human body, emotion plays a critical function. Emotion is the most significant subject
in human-machine interaction. In economic contexts, emotion detection is equally essential …

Humans' most powerful tool is their mental wellness. Individuals' well-being can be impacted
by poor mental health. This paper focuses on a smart technical solution to the problem of …

With the growing importance of textual data processing, sentiment analysis which is a field of
text mining, has been widely researched. But it is insufficient for the detection of human …

Computational linguistics (CL) is the application of computer science for analysing and
comprehending written and spoken languages. Recently, emotion classification and …

Aiming at the problem that the existing methods in the big data environment cannot extract
the emotional features of microblog sufficiently and the average accuracy of analysis results …

The pervasive impact of stress on individuals necessitates proactive identification and
intervention measures, especially in social media interaction. This research paper …