With the advent of web 2.0 websites, the impact of customers on each other's purchasing
decisions has increased, and this has changed the decision-making procedure, attitude, and …

Sentiment analysis is a natural language processing method used to assess data's positivity,
negativity, and neutrality. Several techniques were suggested as ways to solve the …

The surge in online shopping has led to an increase in online customer reviews (OCRs),
posing challenges for product selection based on product features and customer sentiment …

Multi-criteria decision-making (MCDM) techniques are increasing in product
recommendation decisions, which typically entail several factors. This study aims to …

In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

Ensemble multi-criteria decision-making (ensemble MCDM) aggregates results from various
MCDM techniques into a cohesive ranking, aiming to mitigate individual technique …

Presently in Chinese chain supermarkets, many enterprises have built automatic equipment
and information facilities in the logistics center of their supply chain systems. Modern …

Abstract Aspect-Based Sentiment Analysis (ABSA) aims to identify the sentiment expressed
towards a specific feature or aspect of a given text. Although certain ABSA techniques …

Abstract A BERT-MDLP-Bayesian Network model (BMB) is proposed to analyze the
improvement strategy of e-commerce products based on user generated content (UGC). The …

As the leading platform of online education, MOOCs provide learners with rich course
resources, but course designers are still faced with the challenge of how to accurately …