[HTML][HTML] Text mining for big data analysis in financial sector: A literature review

M Pejić Bach, Ž Krstić, S Seljan, L Turulja - Sustainability, 2019 - mdpi.com
Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …

A literature review on the state-of-the-art in patent analysis

A Abbas, L Zhang, SU Khan - World Patent Information, 2014 - Elsevier
The rapid growth of patent documents has called for the development of sophisticated patent
analysis tools. Currently, there are various tools that are being utilized by organizations for …

The service revolution and the transformation of marketing science

RT Rust, MH Huang - Marketing Science, 2014 - pubsonline.informs.org
The nature of marketing science is changing in a systematic, predictable, and irrevocable
way. As information technology enables ubiquitous customer communication and big …

A multidisciplinary perspective of big data in management research

J Sheng, J Amankwah-Amoah, X Wang - International Journal of …, 2017 - Elsevier
In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …

Exploring the role of customer relationship management (CRM) systems in customer knowledge creation

F Khodakarami, YE Chan - Information & management, 2014 - Elsevier
This study explores how customer relationship management (CRM) systems support
customer knowledge creation processes [48], including socialization, externalization …

Harnessing customized AI to create voice of customer via GPT3. 5

M Shahin, FF Chen, A Hosseinzadeh - Advanced Engineering Informatics, 2024 - Elsevier
The integration of customer feedback is universally acknowledged as crucial in the product
development process. Yet, traditional feedback collection methods employed by companies …

Incorporating textual information in customer churn prediction models based on a convolutional neural network

A De Caigny, K Coussement, KW De Bock… - International Journal of …, 2020 - Elsevier
This study investigates the value added by incorporating textual data into customer churn
prediction (CCP) models. It extends the previous literature by benchmarking convolutional …

[LIBRO][B] Why database marketing?

RC Blattberg, BD Kim, SA Neslin, RC Blattberg, BD Kim… - 2008 - Springer
A basic yet crucial question is: why should the firm engage in database marketing? We
discuss three fundamental motivations: enhancing marketing productivity, creating and …

Leveraging unstructured call log data for customer churn prediction

NNY Vo, S Liu, X Li, G Xu - Knowledge-Based Systems, 2021 - Elsevier
Customer retention is important in the financial services industry. Machine learning has
been incorporated into customer data analytics to predict client churn risks. Despite its …

Improved churn prediction in telecommunication industry using data mining techniques

A Keramati, R Jafari-Marandi, M Aliannejadi… - Applied Soft …, 2014 - Elsevier
To survive in today's telecommunication business it is imperative to distinguish customers
who are not reluctant to move toward a competitor. Therefore, customer churn prediction has …