In the past few decades, due to the growth of social networking sites such as Whatsapp and
Facebook, information distribution has been at a level never seen before. Knowing the …

The field of low-resource sentiment analysis has seen significant developments in recent
years. This research review SLR evaluates the approaches and data sources utilized in low …

Social media platforms such as Twitter have evolved into a vast information sharing platform,
allowing people from a variety of backgrounds and expertise to share their opinions on …

Large-scale research by authors has covered aspect-based sentiment analysis (ABSA) and
its sub-tasks, such as Aspect Term Extraction (ATE), Aspect Term Polarity (ATP), Aspect …

Social media platforms have made increasing use of irony in recent years. Users can
express their ironic thoughts with audio, video, and images attached to text content. When …

Sentiment analysis has significantly progressed in English, whereas Hindi research is still
nascent. Despite being the third most spoken language worldwide, Hindi remains an RRL …

The rapid growth of Web 2.0, which enables people to generate, communicate, and share
information, has resulted in an increase in the total number of users. In developing countries …

In this study, we develop a novel multi-criteria decision-making (MCDM) and game-theoretic
mathematical framework for analyzing review sentiment. The ratings and feedback of Hindi …

Sentiment analysis is a natural language processing technique for extracting sentimental,
opinion, or emotional information from text data. Sentiment analysis of natural language is a …

Humour is a crucial aspect of human speech, and it is, therefore, imperative to create a
system that can offer such detection. While data regarding humour in English speech is …