Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …

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 …

To promote the development of the peer-to-peer (P2P) accommodation in sharing economy,
it is important to understand and ensure the determinants of high-level user satisfaction …

In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

Semantic processing is a fundamental research domain in computational linguistics. In the
era of powerful pre-trained language models and large language models, the advancement …

Sentiment analysis requires a lot of information coming from different sources and about
different topics to be retrieved and fused. For this reason, one of the most important subtasks …

Online product reviews have significant impacts on consumers' purchase decisions. To
support consumers' purchase decisions, how to rank the products through online reviews is …

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 …

The online search volume reflects public attention related to people's concerns.
Environmental, Social and Governance issues (ESG) has been well documented to be a …