The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on sentiment analysis — including literature reviews, social media and news sentiment, and applications such as stock price prediction.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
Investors access the foreign exchange market (FOREX) not only to preserve their wealth but also to generate profits and achieve specific financial goals. It is one of the largest financial markets that investors rely on,…
Multimodal Sentiment Analysis (MSA) has emerged as a critical task in Natural Language Processing (NLP), driven by the growth of user-generated content containing textual, visual, and auditory cues. While transformer-bas…
Accurate sentiment analysis in Arabic natural language processing (NLP) remains a complex task due to the language’s rich morphology, syntactic variability, and diverse dialects. Traditional annotation approaches require…
With the rapid growth of social media and user-generated content, cross-domain aspect-level sentiment analysis has become an important research direction in sentiment computing. In this study, a cross-domain sentiment an…
Recommender systems play a crucial role in enhancing user experience and engagement on e-commerce plat-forms by suggesting relevant products based on user behavior. In the context of Amazon’s extensive catalog of over 8,…
As Generative Artificial Intelligence (Gen AI) is evolving rapidly, there is a significant change in the approach by the contact center industry with respect to work culture. Historically, customer service agents working…
Sentiment analysis, a crucial yet complex task in natural language processing (NLP), is extensively employed to identify sentiment polarity within user-generated content. Traditional deep learning methods for textual sen…
With the continuous development of information technology, public opinion analysis based on open-source texts and financial situation awareness has become a research hotspot. This study focuses on financial news and comm…
Manual annotation of large datasets is a time-consuming and resource-intensive process. Hiring annotators or outsourcing to specialized platforms can be costly, particularly for datasets requiring domain-specific experti…
Massive Open Online Courses (MOOCs) have transformed digital learning, leading to vast amounts of learner-generated content that reflect user experience and engagement. Accurately classifying sentiment from this content…
