Financial and economic news is continuously monitored by financial market participants.
According to the efficient market hypothesis, all past information is reflected in stock prices …

Social media hold valuable, vast and unstructured information on public opinion that can be
utilized to improve products and services. The automatic analysis of such data, however …

Social networking platforms have witnessed tremendous growth of textual, visual, audio, and
mix-mode contents for expressing the views or opinions. Henceforth, Sentiment Analysis …

This study utilized large language models (LLMs) to analyze public sentiment in the United
States (US) regarding nuclear power on social media, focusing on X/Twitter, considering …

For changing semantics, ontological and information presentation, as well as computational
linguistics for Asian social networks, are one of the most essential platforms for offering …

In the process of online shopping, consumers usually compare the review information of the
same product in different e‐commerce platforms. The sentiment orientation of online reviews …

Sentiment analysis is used for social media supervising. It is used to analyze comments,
recommendations provided by the reviewers. Depending on this analysis, products will be …

An essential component of any dialogue system is understanding the language which is
known as spoken language understanding (SLU). Dialogue act classification (DAC), intent …

In the era of web 2.0, online forums, blogs and Twitter are becoming primary sources for
sharing views, opinions and comments about different topics. Classifying these views …

Social media has recently been widely used by users, especially Indonesians, as a place to
express themselves in sentences, pictures, sounds, or videos. Twitter is one of the social …