This paper addresses the evolution and evaluation of sarcasm in textual form. The growing
popularity of social networking sites is well known, and every individual generates a whole …

Penundaan pemilu Indonesia menjadi isu terhangat dan kontroversial baru-baru ini. Isu ini
dilontarkan pertama kali oleh ketua umum PKB, Muhaimin Iskandar setelah menerima …

Modern social media's rise to prominence has altered the ways in which candidates reach
out to voters and conduct campaigns. Researchers often dwell upon the uses of social …

Social networking sites have become essential forums for sharing thoughts, feelings, and
criticism on a range of subjects. Sentiment analysis from user-generated information is …

Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing
MSD methods tend to rely on spurious correlations. These methods often mistakenly …

Sentiment Analysis (SA) is a fundamental and practical research problem in the field of
natural language understanding (NLU). Meanwhile, sarcasm detection is a task to detect …

Abstract The study explores Twitter Sentiment Analysis (TSA) using Natural Language
Processing (NLP) to understand societal views, trends, and feelings. The research involves …

Over the years, technology has rapidly evolved, with social networks and media emerging
as prominent examples. Social media facilitates the creation and exchange of content, while …

In recent years, multi-label emotions of user tweets have beenexplored to identify user
opinion, sentiment, stance, and preferences. Many studies and datasets are available to …

In the digital era, the surge of abusive content online underscores the necessity for robust
content moderation. This study targets the challenges posed by abusive content in Telugu, a …