Many state-of-the-art recommendation systems leverage explicit item reviews posted by
users by considering their usefulness in representing the users' preferences and describing …

The tracking sentiment of the news entities over time provides important information to
governments and enterprises during the decision-making process. Recently, it has attracted …

Social media influencers can have a deep impact on people's lives; one area on which they
have most impact is restaurant choices. There are various aspects to the restaurant …

In the field of recommender systems, diversity as the measure of recommendation quality
has gained much attention recently. Unfortunately, many researchers have shown that it has …

With the advance of sentiment analysis techniques, several studies have been on Multi-
Criteria Recommender Systems (MCRS) leveraging sentiment information. However, partial …

In the recommender system field, diversity as the measure of recommendation quality has
gained much attention recently. However, many pieces of research have shown that it has a …

The incompleteness of positive labels and the presence of many unlabelled instances are
common problems in binary classification applications such as in review helpfulness …

We propose a new sentiment information-based attention mechanism that helps to identify
user reviews that are more likely to enhance the accuracy of a rating prediction model. We …

Reviews are an indispensable part of any unit. Be it, business, non-profits, institutions or any
type of service which deals with the masses, are in critical need of constructive reviews and …

The recommendation system is used in every field where a user may observe several
choices. A good recommendation may increase the user interest and lessen the resources …