The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.
IJACSA research on natural language processing — from foundational NLP techniques to applications such as depression detection in social media.
Published in International Journal of Advanced Computer Science and Applications (IJACSA) · list last refreshed August 2026
The latest advanced models for abstractive summarization, which utilize encoder-decoder frameworks, produce exactly one summary for each source text. This systematic literature review (SLR) comprehensively examines the r…
In this digital era, social media is one of the key platforms for collecting customer feedback and reflecting their views on various aspects, including products, services, brands, events, and other topics of interest. Ho…
Artificial intelligence (AI) based chatbots leverage programmed software instructions to simulate human speech and user interaction. These versatile tools can be employed in various domains, from managing smart home devi…
With the continuous development and changes in the global financial markets, financial risk management has become increasingly important for the stable operation of enterprises. Traditional financial risk management meth…
In navigating the dynamic consumer landscape, this study emphasizes the collaborative synergy between influencers and brands, focusing on a cosmetics brand in the Moroccan market. Employing advanced Natural Language Proc…
Sentiment analysis is vital for understanding public opinion, but improving its performance is challenging due to the complexities of high-dimensional text data and diverse user-generated content. We propose a novel fram…
Multimodal sentiment analysis extracts sentiments from multiple modalities like text, images, audio, and videos. Most of the current sentiment classifications are based on single modality which is less effective due to s…
Most neural machine translation (NMT) systems rely on parallel data, comprising text in the source language and its corresponding translation in the target language. While it’s acknowledged that context enhances NMT mode…
The proposed research paper explores the application of machine learning techniques in crime analysis problem, specifically focusing on the classification of crime-related textual data. Through a comparative analysis of…
Based on the high dynamic of Sentiment Analysis (SA) topic among the latest publication landscape, the current review attempts to fill a research gap. Consequently, the paper elaborates on the most recent body of literat…
