The increasing application of artificial intelligence in agriculture production and
management has generated a large amount of data, leading to a demand for processing this …

In the era of sustainable smart agriculture, a vast amount of agricultural news text is posted
online, accumulating significant agricultural knowledge. To efficiently access this …

Linguistic metonymy is a common type of figurative language in natural language
processing (NLP), where a concept is represented by a closely associated word or phrase …

In recent years, Aspect-based Sentiment Analysis (ABSA) has been a crucial yet challenging
task in recognizing textual emotions from text. ABSA has numerous application across …

With the development of social media, users increasingly tend to express their sentiments
(broadly including sentiment polarities, emotions and sarcasm, etc.) associated with fine …

This paper introduces a novel approach to the creation and application of confusion
matrices for error pattern discovery in spellchecking for the Croatian language. The …

News headlines can be a good data source for detecting the barriers to the spreading of
news in news media, which can be useful in many real-world applications. In this study, we …

Fine-grained sentiment analysis, commonly referred to as aspect-based sentiment analysis
(ABSA), has garnered substantial attention in both academic and industrial circles. ABSA …

Recently, rumor detection (fake news detection) has seen a surge in research interest, and
fact verification (fake news checking) has simultaneously become a significant research …