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
The rapid growth of social media has produced large-scale, highly interconnected user-generated data, creating the need for analytical approaches that can capture both textual meaning and relational structure. This syste…
Monitoring public perception on social media is increasingly important for detecting reputational risks and communication opportunities in rapidly evolving digital environments. However, operational sentiment monitoring…
The increasing use of online platforms, especially in social media, has led to a rapid growth of user-generated content that frequently exhibits intra-sentential code mixing between Malay and English language. Sentiment…
Sentiment analysis for low-resource languages remains challenging due to limited annotated data, orthographic instability, informal writing practices, and the lack of dedicated linguistic resources, challenges that are p…
The dynamics in the financial markets are complicated and non-stationary, with a significant influence of the wave of investor sentiment. The recent changes in sentiment-based stock prediction have shown promising result…
The Multimodal Sentiment Analysis (MSA) land-scape for Arabic content is strikingly underexplored, mainly due to limited datasets and a lack of robust integration methods across text, audio, and image. While transformer-…
The accelerated growth of digital content and the increasing presence of emotional expressions, polarized opinions, and toxic behaviors in social media have driven the development of advanced Affective Analysis technique…
Pilgrimage, also known as Hajj, brings together millions of people each year, creating significant challenges in managing, organizing, and maintaining the quality of various services. Among these essential services, food…
Text classification is a critical task in domains generating large volumes of unstructured text, such as finance, healthcare, and consumer services. However, accurately classifying such data remains challenging due to it…
The emergence of pre-trained generative model–based applications has intensified sentiment dynamics within Indonesia’s multi-platform digital ecosystem, where sentiment intensity and temporal fluctuations occur simultane…
