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
In an era marked by a proliferation of online reviews across various domains, navigating the extensive and diverse range of opinions can be challenging. Sentiment analysis aims to extract and interpret sentiments from th…
Natsukashii offers a delightful platform for users to seamlessly connect with their Spotify accounts and delve into cherished musical moments, fostering a profound emotional connection with their recent experiences. This…
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…
With the explosive growth of short video content, effectively recommending videos that interest users has become a major challenge. In this study, a short video recommendation model based on barrage sentiment analysis an…
Customer loyalty and customer satisfaction are premier goals of modern business since these factors indicate customers’ future behaviour and ultimate impact on the revenue and value of a business. The customers’ reviews,…
This paper introduces a comprehensive methodology for conducting sentiment analysis on social media using advanced deep learning techniques to address the unique challenges of this domain. As digital platforms play an in…
When conducting sentiment analysis on social networks, facing the challenge of temporal and multi-modal data, it is necessary to enable the model to deeply mine and combine information from various modalities. Therefore,…
The analysis of sentiments expressed on social media platforms is a crucial tool for understanding user opinions and preferences. The large amount of the texts found on social media are mostly in different languages. How…
