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 …

Online learning has developed rapidly and billions of learners have participated in various
courses. However, the high dropout rate is universal and learning performance is not …

Aspect-level sentiment analysis is used to predict the sentiment polarity of a specific aspect
in a sentence. However, most current research cannot fully utilize semantic information, and …

This paper presents a novelty of item's feedback classification in e-commerce systems. This
proposed work is developed based on a combination between a text classifier and word …

Effective user feedback is crucial for enhancing the user experience (UX) of mobile
applications. However, manually analyzing user reviews can be time-consuming and labour …

Sentiment analysis is the process of determining whether a given text expresses a
subjective opinion, evaluation, or emotional feeling (ie sentiment), and, if so, whether the …

Automatic identification of emotions from text has been an interesting area of research in the
recent times. With the exponentially growing number of online users, emotion identification …

Aspect-based sentiment analysis aims to analyze the sentimental tendencies of specific
aspect terms in the target sentence. With the continuous development of deep learning …

This paper presents a combination of text classifier and word centrality for analyzing product
reviews. The product reviews collected from the Amazon website consist of 10,374 office …

Aspect-level sentiment analysis lies in identifying positive, negative and neutral emotions of
aspectual words in text. The key lies in the learning of relationships between aspect words …