The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
Sentiment analysis, also called opinion mining, is a natural language processing task that identifies and classifies the emotional tone or polarity, positive, negative, or neutral, expressed in text such as product reviews, social media posts, or survey responses. Approaches range from lexicon-based methods that score text using predefined sentiment dictionaries, to supervised machine learning classifiers, to deep learning models including recurrent neural networks and transformer-based architectures such as BERT that capture context and sarcasm. Beyond simple polarity, aspect-based sentiment analysis identifies opinions about specific product or service features, while emotion detection extends the task to finer-grained states such as anger, joy, or frustration. Recent surveys find that large language models outperform smaller models in low-data, few-shot settings but still lag on tasks requiring structured sentiment understanding, motivating continued work on hybrid, fine-tuned approaches. Sentiment analysis supports brand monitoring, customer feedback analysis, and financial market sentiment prediction. As an open-access sentiment analysis journal, IJACSA publishes research evaluating sentiment models across languages, domains, and low-resource text corpora.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed September 2026
Social media data contain various sources of big data that include data on drugs, diagnosis, treatments, diseases, and indications. Sentiment analysis (SA) is a technology that analyses text-based data using machine lear…
Mobile telecommunication companies in Malaysia have been widely used in the recent decade. There is intense competition among them to keep and gain new customers by offering various services. The reviews of the services…
Social media networks facilitated the availability and accessibility of a wide range of information and data. It allows the users to share and express their opinions. In addition, it presents the appraisals of the top ne…
Sentiment analysis and opinion polling are two areas that have grown significantly over the past decade. Opinion research and sentiments analysis in the online education environment can truly reflect the learning state o…
With the evolution of a new era of technology and social media networks, as well as an increase in Arabs sharing their point of view, it became necessary that this research be conducted. Sentiment analysis is concerned w…
The Bidirectional Encoder Representations from Transformers (BERT) is a state-of-the-art language model used for multiple natural language processing tasks and sequential modeling applications. The accuracy of prediction…
Information gets spread rapidly in the world of the internet. The internet has become the first choice of people for medication tips related to their health problems. However, this ever-growing usage of the internet has…
Now-a-days, people use social media platforms such as Facebook, Twitter, and Instagram to share their opinions on particular entities or services. The sentiment analysis can get the polarity of these opinions, especially…
Malaysia citizen always looks forward to the budget announcement, which is presented by the government each year. Due to the direct effect on the economy, the citizens' opinions are crucial in understanding what they wan…
Sentiment analysis represents the process of judging customers’ behavior expression and feeling as either positive, negative or neutral. Hence, a tangle of different approaches for sentiment analysis is being used, refle…
