A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews

PK Jain, R Pamula, G Srivastava - Computer science review, 2021 - Elsevier
… Many researchers applied machine learning techniques in predicting consumer … From
Table 7, we may refer to that many scholars used regression and basic machine learning

Data-driven machine learning and neural network algorithms in the retailing environment: Consumer engagement, experience, and purchase behaviors

T Kliestik, K Zvarikova, G Lăzăroiu - Economics, Management and …, 2022 - ceeol.com
Retail e-commerce business harnesses machine learning and neural networks to inspect
buyer behavior and engage consumers adequately so as to provide optimized products and …

Predicting online shopping behaviour from clickstream data using deep learning

D Koehn, S Lessmann, M Schaal - Expert Systems with Applications, 2020 - Elsevier
… data and reports that its customers have saved six-digit numbers … clickstream data and
supervised machine learning (SML). … other forms of online customer behavior including newsletter …

An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews

HJ Alantari, IS Currim, Y Deng, S Singh - … Journal of Research in Marketing, 2022 - Elsevier
… We focus on the fundamental relationship between a consumer’s overall empirical … 260,489
reviews across five review platforms. We find that neural network-based machine learning

A machine learning-based sentiment analysis of online product reviews with a novel term weighting and feature selection approach

H Zhao, Z Liu, X Yao, Q Yang - Information Processing & Management, 2021 - Elsevier
… of the user reviewsMachine Learning (ML) algorithm called the Local Search Improvised
Bat Algorithm based Elman Neural Network (LSIBA-ENN) for the SA of online product reviews. …

A retentive consumer behavior assessment model of the online purchase decision-making process

T Petcharat, A Leelasantitham - Heliyon, 2021 - cell.com
… now use them as tools or a channel for online purchases of … The results will be generated
and collected online (Online … previous experience in purchasing products or services online. In …

Impact of big data and machine learning on digital transformation in marketing: A literature review

A Miklosik, N Evans - Ieee Access, 2020 - ieeexplore.ieee.org
Using the latest … consumer behaviour and buying habits [13]. Today’s marketing governance
model is more interactive as it allows and builds upon interaction with customers [14]. …

Intelligent decision-making of online shopping behavior based on internet of things

H Fu, G Manogaran, K Wu, M Cao, S Jiang… - International Journal of …, 2020 - Elsevier
… to study consumer's online reviews search behavior in the … to combine IoT with consumer
behavior research. In future … how to use wireless network sensors to detect consumer behavior, …

Eye-tracking-based classification of information search behavior using machine learning: evidence from experiments in physical shops and virtual reality shopping …

J Pfeiffer, T Pfeiffer, M Meißner… - Information Systems …, 2020 - pubsonline.informs.org
… It is therefore extremely relevant from both a research and a managerial perspective to study
consumer behavior in this new environment. Second, for technical reasons, eye tracking is …

[PDF][PDF] A Review on Applications of Machine Learning In E-Commerce

MV Rajesh, S Rao Chintalapudi - Advances and Applications in …, 2021 - mililink.com
… In a first step, they analysed how the probability of sales is impacted by particular consumer
attitude and the step wise interaction of pricing strategies with the help of a simulated test …