With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

Sentiment analysis is an important natural language processing issue that has many
applications in various fields. The increasing popularity of social networks and growth and …

Sentiment is a pervasive feature in natural language text, yet it is an open question how
sentiment is represented within Large Language Models (LLMs). In this study, we reveal that …

ChatGPT OpenAI, a large-language chatbot model, has gained a lot of attention due to its
popularity and impressive performance in many natural language processing tasks …

Qualitative research delves deeply into individual complex perspectives on technology and
various phenomena. However, a meticulous analysis of qualitative data often requires a …

Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …

Sentiment Quantification aims to detect the overall sentiment polarity of users from a set of
reviews corresponding to a target. Existing methods equally treat and aggregate individual …

This research paper focuses on sentiment analysis of Tamil and Tulu texts using a BERT
model and an RNN model. The BERT model, which was pretrained, achieved satisfactory …

Advancements in artificial intelligence (AI) have driven extensive research into developing
diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of …

Wars, conflicts, and peace efforts have become inherent characteristics of regions, and
understanding the prevailing sentiments related to these issues is crucial for finding long …