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 …

Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

Customers increasingly rely on reviews for product information. However, the usefulness of
online reviews is impeded by fake reviews that give an untruthful picture of product quality …

Fake online reviews in e-commerce significantly affect online consumers, merchants, and,
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …

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 …

Tourists with dissimilar cultural backgrounds think and behave differently. Precisely
capturing and correctly understanding the cultural difference will help tourism managers …

Artificial intelligence (AI) and machine learning (ML) are emergent tools for fake review
detection. This study provides a comprehensive overview of AI applications in fake review …

Online reviews of products and services are strategic tools for e-commerce platforms, as
they aid in consumers' pre-purchase decisions. Past research studies indicate online …

The emergence of anti-social behaviour in online environments presents a serious issue in
today's society. Automatic detection and identification of such behaviour are becoming …

Majority of customers and manufacturers who tend to purchase and trade via e-commerce
websites primarily rely on reviews before making purchasing decisions and product …