Data Technologies and Applications: Volume 53 Issue 1

A data-driven neural network architecture for sentiment analysis

Erion Çano, Maurizio Morisio

The fabulous results of convolution neural networks in image-related tasks attracted attention of text mining, sentiment analysis and other text analysis researchers. It is…

Parallelization and analysis of selected numerical algorithms using OpenMP and Pluto on symmetric multiprocessing machine

Tanvir Habib Sardar, Ahmed Rimaz Faizabadi

In recent years, there is a gradual shift from sequential computing to parallel computing. Nowadays, nearly all computers are of multicore processors. To exploit the available…

Applying big data analytics to support Kansei engineering for hotel service development

Mu-Chen Chen, Yu-Hsiang Hsiao, Kuo-Chien Chang, Ming-Ke Lin

Leisure and tourism activities have proliferated and become important parts of modern life, and the hotel industry plays a necessary role in the supply for and demand from…

M-banking barriers in Pakistan: a customer perspective of adoption and continuity intention

Abdul Waheed Siyal, Donghong Ding, Saeed Siyal

The purpose of this paper is to determine barriers jeopardizing the adoption and usage intention of mobile banking (M-banking) in Pakistan and provide deeper insights to fix such…

Multidimensional appropriate clustering and DBSCAN for SAT solving

Celia Hireche, Habiba Drias

This paper is an extended version of Hireche and Drias (2018) presented at the WORLD-CIST’18 conference. The major contribution, in this work, is defined in two phases. First of…

Domain-specific word embeddings for patent classification

Julian Risch, Ralf Krestel

Patent offices and other stakeholders in the patent domain need to classify patent applications according to a standardized classification scheme. The purpose of this paper is to…

Social network fatigue affecting continuance intention of social networking services: The case of WeChat users in China’s universities

Wen Zong, Jing Yang, Zheshi Bao

The purpose of this paper is to explore how social network fatigue affects continuance intention of social networking services (SNSs) from a more comprehensive perspective.