Abstract: Global communication has seen significant changes with the advent of social media platforms, one of which is a jump in improper conduct, such as the use of derogatory and violent words ...
Abstract: This research focuses on the role of Natural Language Processing in extracting, analysing, and interpreting textual data to identify sentiment and emotional patterns from tweets. NLP ...
Abstract: The local skincare market in Indonesia has experienced significant growth, accompanied by an increasing public interest in domestic products. The X social media platform is the leading ...
Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...
Abstract: A subscription movie streaming service from the United States, Netflix, has been present in Indonesia since 2016 and provides a wide variety of films without showing any single ...
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used ...
Abstract: Mental disorders, such as depression, usually manifest themselves on average by the age of 24, when many young people are in college. During the COVID-19 pandemic, university students ...
Abstract: This study investigates the capabilities of large language models (LLMs) in addressing sentiment analysis and response prioritization in Latvian texts, focusing on e-mails used in ...
Abstract: The purpose of this research is to create a sentiment analysis model based on deep learning technologies to identify sentiment in text and emojis. The system utilizes natural language ...
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