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Online Product Reviews and Their Impact on Third Party Sellers Using Natural Language Processing
The purpose of this paper is to gain insights from the online product reviews of e-commerce sites such as Flipkart and Amazon and analyze its impact on third party sellers. To judge the authenticity of a product, reviews are...
Published by: IGI Global
Experiential Retailing Leveraged by Data Analytics
The purpose of the study is to establish how in retail industry consumer data can be leveraged and analysed to provide customers an enhance shopping experience. Popular machine learning algorithms related to text mining aids in...
Published by: IGI Global
Dynamic Causality Among FDI, Economic Growth and CO2 Emissions in India With Open Markets and Technology Gap
This study examines the causality relationships between FDI, economic growth (in terms of GDP) and the natural environment, in terms of CO2 emissions and energy consumption, along with two more variables of interest i.e., trade...
Published by: IGI Global
Optimization of IoT-Enabled Physical Location Monitoring Using DT and VAR
This study shows an enhancement of IoT which gets sensor data and performs real-time face recognition to screen physical areas to find strange situations and send an alarm mail to the client to make remedial moves to avoid any...
Published by: IGI Global
Exploring the Factors Affecting Learners' Retention in MOOCs
MOOCs have emerged as an important form of Open and Distance Learning. The success of a MOOC platform depends on the support services and the motivational environment that it provides. This paper presents a comprehensive picture...
Published by: IGI Global
Z-Test-Based Analysis for Validating the Effectiveness of NPTEL E-Learning Modules
The present article proposes use of a z-model to validate learning progress after experimenting on student’s performance. A statistical map of z-values is used to calculate the z-value. This paper is divided into two parts -...
Published by: IGI Global
Performance Analysis of Machine Learning Algorithms for Big Data Classification
In broad, three machine learning classification algorithms are used to discover correlations, hidden patterns, and other useful information from different data sets known as big data. Today, Twitter, Facebook, Instagram, and...
Published by: IGI Global
A Novel Method for Despeckling of Ultrasound Images Using Cellular Automata-Based Despeckling Filter
Ultrasound images have an inherent property termed as speckle noise that is the outcome of interference between incident and reflected ultrasound waves which reduce image resolution and contrast and could lead to improper...
Published by: IGI Global