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Effectiveness of fine-tuned BERT model in classification of helpful and unhelpful online customer reviews
The problem of information overload in online review platforms has seriously hampered
many customers' ability to evaluate the quality of products or businesses when making …
many customers' ability to evaluate the quality of products or businesses when making …
Profiling reviewers' social network strength and predicting the “Helpfulness” of online customer reviews
Online customer reviews have become a popular source of information that influences the
purchasing decisions of many prospective customers. However, the rapidly increasing …
purchasing decisions of many prospective customers. However, the rapidly increasing …
Visual information and appearance: The impact of visual attributes of user-generated photos on review helpfulness
Images have become integral to consumers' sharing of consumption experiences due to
their abilities of carrying rich and vivid information. Drawing from the perspective of …
their abilities of carrying rich and vivid information. Drawing from the perspective of …
Profiling users' behavior, and identifying important features of review “helpfulness”
The increasing volume of online reviews and the use of review platforms leave tracks that
can be used to explore interesting patterns. It is in the primary interest of businesses to retain …
can be used to explore interesting patterns. It is in the primary interest of businesses to retain …
Effectiveness of ELMo embeddings, and semantic models in predicting review helpfulness
Online product reviews (OPR) are a commonly used medium for consumers to communicate
their experiences with products during online shop**. Previous studies have investigated …
their experiences with products during online shop**. Previous studies have investigated …
Predicting helpfulness of crowd-sourced reviews: A survey
With the recent advancement of Web 2.0 and the popularity of social media platforms, the
volume of User Generated Content (UGC) is rising explosively. Online reviews are rapidly …
volume of User Generated Content (UGC) is rising explosively. Online reviews are rapidly …
Explanation plug-in for stream-based collaborative filtering
Collaborative filtering is a widely used recommendation technique, which often relies on
rating information shared by users, ie, crowdsourced data. These filters rely on predictive …
rating information shared by users, ie, crowdsourced data. These filters rely on predictive …
A study on the effect of reviewer's attributes on the usefulness of online review
Purpose The purpose of this study is to verify the effect of reviewer's attributes on review
usefulness while exploring the variables that can moderate the relationship between …
usefulness while exploring the variables that can moderate the relationship between …
Profiling social media campaigns and political influence: the case of pakistani politics
Social networking websites have been widely used for political awareness and campaigns.
With the increasing reliance of political parties and supporters on social media, interesting …
With the increasing reliance of political parties and supporters on social media, interesting …
Multi-attribute online decision-making driven by opinion mining
With the evolution of data mining systems, the acquisition of timely insights from unstructured
text is an organizational demand which is gradually increasing. The existing opinion mining …
text is an organizational demand which is gradually increasing. The existing opinion mining …