The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

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

Aspect-based sentiment analysis (ABSA) aims to mine multiple sentiment–target pairs
contained in a review sentence. The main challenge of this task is how to extract the …

The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …

Abstract Aspect-based Sentiment Analysis (ABSA) is a subclass of sentiment analysis, which
aims to identify the sentiment polarity such as positive, negative, or neutral for specific …

The paper presents an intelligent system to automatically infer trends in the public opinion
regarding the stance towards the vaccination topic: it enables the detection of significant …

The main objective of aspect-based sentiment classification (ABSC) is to predict sentiment
polarities of different aspects from sentences or documents. Recent research integrates …

TripAdvisor is an opinion source frequently used in Sentiment Analysis. On this social
network, users explain their experiences in hotels, restaurants or touristic attractions. They …