Abstract
Online purchases have been significantly increasing in the web world. Some of the big giants who have dominated the E-Commerce market worldwide are Amazon, FlipKart, Walmart and many others. Data generation has increased exponentially and analysis of this kind of dynamic data poses a major challenge. Further, facilitating consumer satisfaction by recommending the right product is another main challenge. This involves a significant number of factors like review ratings, normalization, early rating, sentiment computations of a sentence consisting of conjunctions, categorizing the sentiment score as positive, negative and neutral score for a given product review. Finally, the product which has the highest positive and least negative score must be suggested for the end user. In this paper, we discuss the work done under rating based numerical analysis methods which considers the transactions done by the end user. In the second part of the paper, we present an overview of sentiment score computed and its significance in improving the efficiency of recommendation systems. The main objective of this review is to understand and analyze different methods used to improve the efficiency of the current recommendation systems, thereby enhancing the credibility of product recommendations.
Keywords: Similar user, transaction base, and pearson recommendations stop words, data cleaning, tokenization, sentiment per review, sentiment per feature.
Graphical Abstract
Related Journals
International Journal of Sensors, Wireless Communications and Control
Related Books
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Recent Advances in IoT and Blockchain Technology
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Machine Learning and Its Application: A Quick Guide for Beginners
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)
1