Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

Sentiment analysis is essential for comprehending public opinion, particularly when
considering e-commerce and the expansion of online businesses. Early approaches treated …

Large language models (LLMs) have exhibited remarkable efficacy and proficiency in a
wide array of NLP endeavors. Nevertheless, concerns are growing rapidly regarding the …

Aspect-based sentiment analysis refers to the task of determining the sentiment polarity
associated with particular aspects mentioned in a sentence or document. Previous studies …

Sentiment analysis using artificial intelligence is a great tool for analyzing human linguistic
capabilities. The deep learning techniques combined with Natural Language Processing …

Recommendation systems are widely used to filter massive information. However, they often
face the challenges of cold start and sparsity problems, limiting their effectiveness. Bayesian …

Efficient target identification for bioactive compounds, including novel synthetic analogs, is
crucial for accelerating the drug discovery pipeline. However, the process of target …

As cognitive-inspired computation approaches, deep neural networks or deep learning (DL)
models have played important roles in allowing machines to reach human-like …

An aspect-based sentiment analysis (ABSA) aims to perform a fine-grained analysis of text
to identify sentiments and opinions associated with specific aspects. Recently, transformers …

Aspect-based sentiment analysis (ABSA) task is important to identify user satisfaction from
customer reviews by recognizing the sentiments of all aspects discussed in the reviews. This …