Exploring healthcare/health-product ecommerce satisfaction: A text mining and machine learning application
S Chatterjee, D Goyal, A Prakash, J Sharma - Journal of Business …, 2021 - Elsevier
In the digital era, online channels have become an inevitable part of healthcare services
making healthcare/health-product e-commerce an important area of study. However, the …
making healthcare/health-product e-commerce an important area of study. However, the …
Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos
The present study attempts to examine how the various emotions expressed in customer
engagement content available on online product review videos reflect purchase intentions …
engagement content available on online product review videos reflect purchase intentions …
Explaining customer ratings and recommendations by combining qualitative and quantitative user generated contents
S Chatterjee - Decision Support Systems, 2019 - Elsevier
Customer ratings and recommendations are not only important performance indicators for
businesses alone, but they act as an important source of information for potential …
businesses alone, but they act as an important source of information for potential …
Determining banking service attributes from online reviews: text mining and sentiment analysis
Purpose The current study employs text mining and sentiment analysis to identify core
banking service attributes and customer sentiment in online user-generated reviews …
banking service attributes and customer sentiment in online user-generated reviews …
Improving neural machine translation with POS-tag features for low-resource language pairs
Integrating linguistic features has been widely utilized in statistical machine translation
(SMT) systems, resulting in improved translation quality. However, for low-resource …
(SMT) systems, resulting in improved translation quality. However, for low-resource …
A fast and accurate Vietnamese word segmenter
We propose a novel approach to Vietnamese word segmentation. Our approach is based on
the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990) …
the Single Classification Ripple Down Rules methodology (Compton and Jansen, 1990) …
Survey on Thai NLP language resources and tools
Over the past decades, Natural Language Processing (NLP) research has been expanding
to cover more languages. Recently particularly, NLP community has paid increasing …
to cover more languages. Recently particularly, NLP community has paid increasing …
A machine translation system from Hindi to Sanskrit language using rule based approach
Abstract Machine Translation is an area of Natural Language Processing which can replace
the laborious task of manual translation. Sanskrit language is among the ancient Indo-Aryan …
the laborious task of manual translation. Sanskrit language is among the ancient Indo-Aryan …
Stability of syntactic dialect classification over space and time
This paper analyses the degree to which dialect classifiers based on syntactic
representations remain stable over space and time. While previous work has shown that the …
representations remain stable over space and time. While previous work has shown that the …
Analyzing sales proposal rejections via machine learning
The sales profession is fraught with customer rejection and defections. Understanding why
customers say “no” to a sales proposal is complex given that factors at the organizational …
customers say “no” to a sales proposal is complex given that factors at the organizational …