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
Predicting stock market is a difficult task that involves not just a knowledge of financial measures but also the ability to assess market patterns, investor sentiment, and macroeconomic factors that can affect the movem…
Sentiment lexicons serve as essential components in lexicon-based sentiment analysis models. Research on sentiment analysis based on the Malay lexicon indicates that most existing sentiment lexicons for this language are…
Art serves as a profound medium for humans to express and present their thoughts, emotions, and experiences in aesthetically and captivating means. It is like a universal language transcending the limitations of language…
The increasing spread of textual content on social media, driven by the rise of Large Language Models (LLMs), has highlighted the importance of sentiment analysis in detecting threats, racial abuse, violence, and implied…
Hate speech on social media platforms like YouTube, Facebook, and Twitter threatens online safety and societal harmony. Addressing this global challenge requires innovative and efficient solutions. We propose DBFN-J (Dis…
Numerous economic, political, and social factors make stock price predictions challenging and unpredictable. This paper focuses on developing an artificial intelligence (AI) model for stock price prediction. The model ut…
To achieve automatic recognition and understanding of image sentiment analysis, the study proposes an image sentiment prediction network based on multi-excitation fusion. This network simultaneously handles multiple exci…
For an existing cosmetic company to expand, it is crucial to understand customers’ opinions regarding cosmetic products through product reviews. Aspect-based sentiment classification (ABSC), which consists of text repres…
The rise of hate speech on social media during significant cultural and religious events, such as Ashura, poses serious challenges for content moderation, particularly in languages like Arabic, which present unique lingu…
This research paper explores the development and efficacy of a hybrid deep learning architecture for cyberbullying detection on social media platforms, integrating Convolutional Neural Networks (CNNs) and Long Short-Term…
