Exploring the Impact of Discount Strategies on Consumer Ratings: An Analytical Study of Amazon Product Reviews
Exploring the Impact of Discount Strategies on Consumer Ratings: An Analytical Study of Amazon Product Reviews This research delves into the influence of discount strategies on consumer ratings within the e-commerce landscape, particularly on Amazon. A logistic regression model assessed how discount percentages and product categories affect consumer ratings. The study followed a rigorous methodology, […]
Optimizing Stroke Mortality Prediction: A Comprehensive Study on Risk Factors Analysis and Hyperparameter Tuning Techniques
Optimizing Stroke Mortality Prediction: A Comprehensive Study on Risk Factors Analysis and Hyperparameter Tuning Techniques Stroke is one of the major killer diseases in the world. Understanding the factors that influence the death of stroke patients is vital to improving patient care and outcomes. In this study, we used stroke patient data and machine learning […]
3D word embedding vector feature extraction and hybrid CNN-LSTM for natural disaster reports identification
3D word embedding vector feature extraction and hybrid CNN-LSTM for natural disaster reports identification Social media contain various information, such as natural disaster reports. Artificial intelligence is used to identify reports from eyewitnesses early for disaster warning systems. The artificial intelligence system includes a text classification model with feature extraction and classification algorithms. Word embedding-based […]
Assessing the impact of social media interaction in s-commerce strategies mediated by relationship quality
Assessing the impact of social media interaction in s-commerce strategies mediated by relationship quality In the rapidly evolving landscape of digital marketing, the influence of social media on consumer behavior has become a focal point of scholarly inquiry. This study delves into the intricate dynamics between social media interaction and the quality of relationships in […]
Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis
Sentiment Unleashed: Electric Vehicle Incentives Under the Lens of Support Vector Machine and TF-IDF Analysis This research examines public sentiment regarding electric vehicle incentives through sentiment analysis of online comments. These incentives include tax deductions and other financial rewards offered to promote the adoption of electric vehicles. In this study, the researchers collected and analyzed […]
Exploring the synergy of guided numeric and text analysis in e-commerce: a comprehensive investigation into univariate and multivariate distributions
Exploring the synergy of guided numeric and text analysis in e-commerce: a comprehensive investigation into univariate and multivariate distributions This research adopts a holistic approach to analyze customer reviews in the e-commerce industry by utilizing a combined approach of numerical and text analysis. Specifically, this study integrates univariate, multivariate, and sentiment analysis to gain comprehensive […]
Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology
Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology The purpose of this research is to examine the impact of artificial intelligence (AI) on customer performance and identify the factors contributing to its effectiveness by employing a quantitative approach, specifically the partial least squares method, to test the hypotheses and […]