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Data Technologies and Applications Volume 56 Issue 1

Subject Areas: Information Systems
Publisher: Emerald Group Publishing Limited - Emerald Publishing
ISSN: 2514-9288
SJR: 29

LitStream

Journal Article

Applying sentiment analytics to examine social media crises: a case study of United Airline's crisis in 2017

Tian, Xin; He, Wu; Wang, Feng-Kwei

2022 Data Technologies and Applications

doi:10.1108/dta-09-2018-0087

In recent years, social media crises occurred more and more often, which negatively affect the reputations of individuals, businesses and communities. During each crisis, numerous users either participated in online discussion or widely spread crisis-related information to their friends and...
LitStream

Journal Article

Content analysis-based documentation and exploration of research articles

Phyo, Shwe Sin

2022 Data Technologies and Applications

doi:10.1108/dta-07-2020-0146

With the wealth of information available on the World Wide Web, it is difficult for anyone from a general user to the researcher to easily fulfill their information need. The main challenge is to categorize the documents systematically and also take into account more valuable data such as...
LitStream

Journal Article

Transfer learning for hostel image classification

Ammatmanee, Chanattra; Gan, Lu

2022 Data Technologies and Applications

doi:10.1108/dta-02-2021-0042

Because of the fast-growing digital image collections on online platforms and the transfer learning ability of deep learning technology, image classification could be improved and implemented for the hostel domain, which has complex clusters of image contents. This paper aims to test the...
LitStream

Journal Article

An assessment of noise variance estimations in Bayes threshold denoising under stationary wavelet domain on brain lesions and tumor MRIs

Pidchayathanakorn, Papangkorn; Supratid, Siriporn

2022 Data Technologies and Applications

doi:10.1108/dta-09-2020-0221

A major key success factor regarding proficient Bayes threshold denoising refers to noise variance estimation. This paper focuses on assessing different noise variance estimations in three Bayes threshold models on two different characteristic brain lesions/tumor magnetic resonance imaging...
LitStream

Journal Article

Conversational interfaces for unconventional access to business relational data structures

Kostelník, Pavel; Dařena, František

2022 Data Technologies and Applications

doi:10.1108/dta-03-2021-0062

Current possibilities of accessing business data by regular users usually involve complicated user interfaces or require technical expertise. This results in situations when business owners are separated from their data. The aim of this research is to apply an innovative approach leveraging...
LitStream

Journal Article

Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment

Vinolin, V.; Sucharitha, M.

2022 Data Technologies and Applications

doi:10.1108/dta-10-2020-0234

With the advancements in photo editing software, it is possible to generate fake images, degrading the trust in digital images. Forged images, which appear like authentic images, can be created without leaving any visual clues about the alteration in the image. Image forensic field has introduced...
LitStream

Journal Article

Constructing economic taxonomy reflecting firm relationships based on news reports

Zhou, Zhi; Mu, Xiangming; Lin, Xin

2022 Data Technologies and Applications

doi:10.1108/dta-11-2020-0287

This paper aims to propose a novel approach to constructing an economic taxonomy that demonstrates the complex relationships between firms, which are not fully revealed by traditional industry classification systems such as the NAICS or ICB.Design/methodology/approachBased on narrative economic...
LitStream

Journal Article

Contour- and Texture-based analysis for victim identification in forensic odontology

Jaffino, G.; Prabin Jose, J.

2022 Data Technologies and Applications

doi:10.1108/dta-03-2021-0075

Forensic dentistry is the application of dentistry in legal proceedings that arise from any facts relating to teeth. The ultimate goal of forensic odontology is to identify the individual when there are no other means of identification such as fingerprint, Deoxyribonucleic acid (DNA), iris, hand...

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