As the number of non-native English speakers on social media has skyrocketed in recent
years, sentiment and emotion analysis on regional languages and code-mixed data has …

With the advent of the World Wide Web and the swift advocacy of online platforms paved the
way for news propagation that has never been seen in the past. With the present situation of …

According to recent studies, young adults in India faced mental health issues due to closures
of universities and loss of income, low self‐esteem, distress, and reported symptoms of …

Aiming at the serious colloquialism of social network texts and the sparse semantic features,
this article proposes a CNN‐BiGRU‐based sentiment analysis method for social network …

With the increasing role of Artificial Intelligence and ubiquitous computing paradigms, a
stage has arrived where human being and machine is interacting seamlessly. However, the …

Annotated corpora are required for the development of modern, accurate, and robust
techniques for Natural Language Processing (NLP) downstream applications. The …

Code-mixing, the blending of linguistic elements from distinct languages to form meaningful
sentences, is common in multilingual settings, yielding hybrid languages like Hinglish and …

The arrival of web 2.0 platforms and increasing usage of social networking sites have
proliferated social media content on the web. These platforms also provides multilingual …

In this paper, we detail the IASBS team's approach and findings from participating in
SemEval-2024 Task 10,“Emotion Discovery and Reasoning in Hindi-English Code-mixed …

Mental health of a person plays equivalent significant role in ensuring their wellbeing as
their physical health. A great deal of work and e ffort has gone into increasing awareness of …