The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Text mining is one of the branches of data mining and refers to as the computing process of
finding new patterns and relations among datasets which appear not to be related. Data …

Product reviews contain a large number of implicit aspects and implicit opinions. However,
most of the existing studies in aspect-based sentiment analysis ignored this problem. In this …

In the era of social networking and e-commerce sites, users provide their feedback and
comments in the form of reviews for any product, topic, or organization. Due to high influence …

Digital resources such as smart applications reviews and online feedback information are
important sources to seek customers' feedback and input. This paper aims to help …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

Social networks have changed the communication patterns significantly. Information
available from different social networking sites can be well utilized for the analysis of users …

Aspect based sentiment analysis (ABSA) aims to identify aspect terms in online reviews and
predict their corresponding sentiment polarity. Sentiment analysis poses a challenging fine …

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) …

Aspect-based sentiment analysis (ABSA) task is a fine-grained task of natural language
processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity …