A Comparison of Fuzzy Approaches to E-Commerce Review Rating Prediction
نویسنده
چکیده
This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction. The performance of the Fuzzy C-Means (FCM), a neurofuzzy approach combining FCM and the Adaptive Neuro Fuzzy Inference System (ANFIS), and the Simplified Fuzzy ARTMAP (SFAM) was compared on six datasets containing customer reviews. The results revealed that all computational intelligence predictors were suitable for the rating prediction problem, and that the genetic algorithm is effective in reducing the number of dimensions without affecting the prediction performance of each computational intelligence predictor.
منابع مشابه
IRHM: Inclusive Review Helpfulness Model for Review Helpfulness Prediction in E-commerce Platform
Online reviews have become essential aspect in E-commerce platforms due to its role for assisting customers’ buying choices. Furthermore, the most helpful reviews that have some attributes are support customers buying decision; therefore, there is needs for investigating what are the attributes that increase the Review Helpfulness (RH). This research paper proposed novel model called inclusive ...
متن کاملA computational intelligence approach to efficiently predicting review ratings in e-commerce
Sentiment Analysis, also called Opinion Mining, is currently one of the most studied research fields which aims to analyse people’s opinions. Ecommerce websites allow users to share opinions about a product/service by providing textual reviews along with numerical ratings. These opinions greatly influence future consumer purchasing decisions. This paper introduces an innovative computational in...
متن کاملA comparison between knowledge-driven fuzzy and data-driven artificial neural network approaches for prospecting porphyry Cu mineralization; a case study of Shahr-e-Babak area, Kerman Province, SE Iran
The study area, located in the southern section of the Central Iranian volcano–sedimentary complex, contains a large number of mineral deposits and occurrences which is currently facing a shortage of resources. Therefore, the prospecting potential areas in the deeper and peripheral spaces has become a high priority in this region. Different direct and indirect methods try to predict promising a...
متن کاملFeasibility of Electronic Commerce at Cooperative in Gilan Province to Select an Appropriate E-Commerce Model by Using Fuzzy Analysis Network Process
Electronic commerce as one of the most important of Innovation aspects in the process of doing business is used by many organizations and companies in the world. Cooperatives as the main part of the country's economy have fundamental role in improving and promoting of economic. Therefore, innovation methods and tools, new processes and perform business tasks such as e-commerce will play an i...
متن کاملFeasibility of Electronic Commerce at Cooperative in Gilan Province to Select an Appropriate E-Commerce Model by Using Fuzzy Analysis Network Process
Electronic commerce as one of the most important of Innovation aspects in the process of doing business is used by many organizations and companies in the world. Cooperatives as the main part of the country's economy have fundamental role in improving and promoting of economic. Therefore, innovation methods and tools, new processes and perform business tasks such as e-commerce will play an i...
متن کامل