Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Construction equipment operators (CEOs), who are required to work in seated positions for
prolonged periods, often develop excessive mental fatigue, causing human error-related …

Subjectivity is a key aspect of natural language understanding, especially in the context of
user-generated text and conversational systems based on large language models. Natural …

Sentiment analysis of customer feedback is a pivotal component of Natural Language
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …

In concrete construction, ensuring the quality of vibration is paramount for maintaining the
strength, durability, and quality of structures. This study proposed a method for monitoring …

Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …

Introduction Sentiment analysis has become a crucial area of research in natural language
processing in recent years. The study aims to compare the performance of various sentiment …

One of the challenges of natural language understanding is to deal with the subjectivity of
sentences, which may express opinions and emotions that add layers of complexity and …

This study explores the influence of social media content on societal attitudes and actions
during critical events, with a special focus on occurrences in Chile, such as the COVID-19 …

Insurance fraud is a prevalent issue that insurance companies must face, particularly in the
realm of automobile insurance. This type of fraud has significant cost implications for …