Text analytics and new service development: a hybrid thematic analysis with systematic literature review approach

S Rouhani, SA Bozorgi… - EuroMed Journal of …, 2024 - emerald.com
Purpose This study addresses the gap in understanding text analytics within the service
domain, focusing on new service development to provide insights into key research themes …

Research on the early-warning model of network public opinion of major emergencies

LJ Peng, XG Shao, WM Huang - Ieee Access, 2021 - ieeexplore.ieee.org
The rapid development of Internet in recent years has led to a proliferation of social media
networks as people who can gather online to share information, knowledge, and opinions …

Real-world data difficulty estimation with the use of entropy

P Juszczuk, J Kozak, G Dziczkowski, S Głowania… - Entropy, 2021 - mdpi.com
In the era of the Internet of Things and big data, we are faced with the management of a
flood of information. The complexity and amount of data presented to the decision-maker are …

Author classification using transfer learning and predicting stars in co‐author networks

R Abbasi, A Kashif Bashir, J Chen… - Software: Practice …, 2021 - Wiley Online Library
The vast amount of data is key challenge to mine a new scholar that is plausible to be star in
the upcoming period. The enormous amount of unstructured data raise every year is …

Introduction to Blockchain Technology

G Singh, V Garg, P Tiwari - Transforming Cybersecurity Solutions using …, 2021 - Springer
In recent years, many technologies have emerged as a result of technological innovation. In
the past few years, Blockchain technology or the technology of secure ledger has gained …

The impact of persian news on stock returns through text mining techniques

Z Azizi, N Abdolvand, H Ghalibaf Asl… - … Journal of Management …, 2021 - ijms.ut.ac.ir
The news contains information about the fundamentals of the company and can change the
behavior of the stock market. However, most research in stock market prediction has relied …

[BOOK][B] Transforming Cybersecurity Solutions Using Blockchain

R Agrawal, N Gupta - 2021 - Springer
This book series aims to provide details of blockchain implementation in technology and
interdisciplinary fields such as Medical Science, Applied Mathematics, Environmental …

Reviews Analysis of Apple Store Applications Using Supervised Machine Learning

S Al Dakhil, S Bayoumi - Big Data, IoT, and Machine Learning, 2020 - taylorfrancis.com
Application distribution platforms such as Apple App Store and Google Play enable users to
search, buy and install software applications with a few clicks. Additionally, application …

Unsupervised deep learning approach for information extraction

I Fianyi - 2024 - figshare.utas.edu.au
Unsupervised Information Extraction (UIE) refers to the act of automictically extracting
relevant information (which consists of entities, the relations between entities and their …

Optimizing Text Data in Deep Learning: An Experimental Approach

O Sharma, N Batra - Big Data, IoT, and Machine Learning, 2020 - taylorfrancis.com
Deep learning follows the perception of Artificial Neural Network. Using the concept of deep
learning, the models can be trained more accurately to solve different problems. The …