Olivera Grljevic

Olivera Grljevic
University of Novi Sad · Department of Business Informatics and Quantitative Methods

PhD

About

25
Publications
14,745
Reads
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85
Citations
Citations since 2016
13 Research Items
72 Citations
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20162017201820192020202120220510152025
Introduction
Olivera Grljevic currently works at the Department of Business Informatics and Quantitative Methods, University of Novi Sad. Olivera does research in sentiment analysis, text mining, and data mining.

Publications

Publications (25)
Conference Paper
The covid-19 pandemic has caused major turmoil in economic, social, societal, and health systems around the world. In order to bring it under control, large amounts of relevant data have been identified and collected, the analysis of which should enable understanding of the character and mechanisms of the disease and, based on that knowledge, suppr...
Article
Full-text available
The focus of the paper is on identification of hidden patterns in the opinion of accounting professionals, in order to identify the deficiencies in the legal accounting regulations and to examine their perspective on international and legal accounting regulations. The data collected through the questionnaire was divided using clustering data mining...
Article
Full-text available
The subject of this research is evaluation of legal and international accounting regulations in terms of major deficiencies from the perspective of their users. Identification of the shortcomings of the current accounting regulations is important for improvement of laws governing accounting and audit practices, as they are in the process of public...
Article
Student recruitment and retention heavily depend on student satisfaction and word of mouth voiced through surveys, social media, and review websites. The amount of online reviews makes their manual analysis intractable, revealing the need for automated approaches. The paper presents the first Serbian language corpus manually annotated for opinions...
Article
Motivated by an increasing use of social media for the expression of personal stance towards a certain target, we analyse the language used to produce such opinionated content with expressions of sentiment, which represents the main data source for sentiment analysis. We use the first manually annotated corpus for sentiment analysis of the Serbian...
Article
Purpose Student recruitment and retention are important issues for all higher education institutions. Constant monitoring of student satisfaction levels is therefore crucial. Traditionally, students voice their opinions through official surveys organized by the universities. In addition to that, nowadays, social media and review websites such as “R...
Article
Knowing what attracts or deters tourists to/from a tourist visit and what products to offer them and to pay special attention to is crucial for good economic results. Such knowledge can be obtained by analysis of online comments and reviews that tourists leave on travel websites (such as Booking, TripAdvisor, Trivago, etc.). This paper describes th...
Article
Full-text available
Achievements of artificial intelligence are incorporated through information technologies into different spheres of contemporary life, yet in the domain of higher education there is a sporadic utilization. For this very reason, the paper analyzes the existing diversified aspects of the application of artificial intelligence in higher education. The...
Article
Full-text available
The value of a customer for the company is not measured only by the monetary effect, but also by the degree of its satisfaction. Satisfied customers spread positive word of mouth, while dissatisfied customers spread negative one (in online or offline environment). Their voice shapes company reputation and the reputation is one of the key parameters...
Article
Full-text available
Intensive internet and social media sites usage has posed certain changes in modern business, particularly regarding relationship with customers. More successful companies have already embraced these possibilities and changes, and improved their overall business strategies. Higher Education Institutions as services providers can also benefit from i...
Conference Paper
Data preparation is crucial for the validity of the resulting data model and its subsequent successful application. The paper presents a preprocessing of the data on the behavior of students on social media sites using the CRISP-DM methodology. Data was collected through questioner shared among prospect students of Faculty of Economics Subotica. Th...
Article
Analysis of data on individuals and business sensitive data as well as revealing the results of such analysis without disclosing confidential and sensitive information is a very important issue. Many techniques for preserving privacy of data are currently being used. This paper is addressing some of the basic techniques: randomization, k- anonymity...
Conference Paper
Full-text available
In today's competitive markets for a business success it is essential to fully understand customers, to strive to maximally satisfy their desires and preferences, and on this basis build a solid, long-term and fruitful relationship with customers. This is the core of customer relationship management. Good customer understanding is the basis for inc...
Article
Full-text available
In order to achieve better market position, companies need to develop customer-centric strategy and properly manage customer data at their disposal in order to obtain useful knowledge. However, conversion of customer data into customer knowledge is very challenging. Data mining methods and techniques search for hidden relationships and patterns in...
Article
Business processes modeling has become a trend in modern business. It helps to overcome the problems of complexity, misunderstandings of conducted activities and communication at all levels. This article presents AS-IS model of the process of evaluation of scientific research results in Serbia developed in WebSphere tool. Presented model has provid...
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Full-text available
The paper studies possibilities of intelligent data analysis application for discovering knowledge hidden in small and medium-sized enterprises’ (SMEs) data, on the territory of the province of Vojvodina. The knowledge revealed by intelligent analysis, and not accessible by any other means, could be the valuable starting point for working out of pr...
Conference Paper
Full-text available
Discovering knowledge from a waste amount of data has become a promising area nowadays, but at the same time it is a very intricate, uncertain and time consuming process. The complexity of a data collection, the oscillations in data quality and their impact on the discovery process, as well as the applicability of results, urge for an extensive res...
Article
Full-text available
In business surroundings characterized by tough competition and more demanding customers, in order to ensure stable market position and good relationship with customers, companies' main task becomes proper use of corporate knowledge. Knowledge management is directed towards identification, creation and exchange of knowledge. Many concepts of knowle...
Article
Full-text available
Social networks are in great expansion nowadays. Opposite to many benefits, such as fast access to information, simple interaction among users, or being a perspective data source for decision makers and analysts, they raise many problems related to privacy protection. Vast amount of personal information that are voluntarily provided is disclosed in...

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