Abstract Grammatical Error Correction (GEC) is the task of automatically detecting and
correcting errors in text. The task not only includes the correction of grammatical errors, such …

Sentiment analysis has become one of the most active research areas in natural language
processing, and the Arabic language retains its importance in this field. It is so because of …

Sentiment analysis aims to predict sentiment polarities (positive, negative or neutral) of a
given piece of text. It lies at the intersection of many fields such as Natural Language …

ChatGPT's emergence heralds a transformative phase in NLP, particularly demonstrated
through its excellent performance on many English benchmarks. However, the model's …

Until now, most of the research in grammar error correction focused on English, and the
problem has hardly been explored for other languages. We address the task of correcting …

Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in developing models for sentiment analysis, the …

While research on English opinion mining has already achieved significant progress and
success, work on Arabic opinion mining is still lagging. This is mainly due to the relative …

The automatic correction of grammar and spelling errors is important for students, second
language learners, and some Natural Language Processing (NLP) tasks such as part of …

Sentiment analysis is a highly subjective and challenging task. Its complexity further
increases when applied to the Arabic language, mainly because of the large variety of …

Accurate sentiment analysis models encode the sentiment of words and their combinations
to predict the overall sentiment of a sentence. This task becomes challenging when applied …