Aspect-based sentiment analysis (ABSA) is currently among the most vigorous areas in
natural language processing (NLP). Individuals, private and government institutions are …

Sentiment analysis (SA) has become one of the most active and progressively popular areas
in information retrieval and text mining due to the expansion of the World Wide Web (WWW) …

This study analyzes the satisfiers and dissatisfiers of wineries to identify potential
asymmetric relationships between winery attributes and visitor satisfaction. By using aspect …

Sentiment analysis is an area of research that shows an upward trend, especially in the last
two years due to large-scale production of opinions and comments from users active over …

Opinion target extraction or aspect extraction is the most important subtask of the aspect-
based sentiment analysis. This task focuses on the identification of the targets of user's …

Sentiment Analysis (SA) is focused on mining opinion (identification and classification) from
unstructured text data such as product reviews or microblogs. It is widely used for brand …

Aspect extraction represents a core task of aspect-based sentiment analysis. This study
presents a supervised aspect extraction algorithm for explicit aspect extraction from formal …

Do online reviewers of ethnic restaurants use more elaborate expressions if they are from
the culture of origin of those restaurants than otherwise? For instance, do Japanese use …

Aspect-based sentiment analysis (ABSA) has recently attracted increasing attention due to
its extensive applications. Most of the existing ABSA methods been applied on small-sized …

Online reviews reflect customers' opinions of the products or services they have bought.
Analysing online reviews provides a reliable way for e-commerce platforms to understand …