Emmanuel Awuni Kolog

Emmanuel Awuni Kolog
University of Ghana | Legon · Department of Operations and Management Information Systems

PhD, MSc (Comp. Sci.). MBA (IBM)
Research Interests: Machine Learning, Text-based Affect Detection with NLP, Digital platforms & Learning Analytics.

About

66
Publications
44,487
Reads
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470
Citations
Additional affiliations
January 2016 - March 2016
University of Eastern Finland
Position
  • Research Assistant
Description
  • Teaching Assistant in Research method n Computer Science
June 2014 - September 2017
University of Eastern Finland, Joensuu
Position
  • Researcher
Education
June 2014 - September 2017
University of Eastern Finland
Field of study
  • Computer Science

Publications

Publications (66)
Article
Full-text available
This study utilised thesis process as a case to investigate how its digitalisation can improve operational and pedagogical processes. A thesis management system (Wihi), developed during thesis process digitalisation in a Finnish university, was piloted at the University of Ghana. The purpose was to see if the system supported the thesis process at...
Article
Full-text available
Purpose This article aims to highlight the distribution and growing acceptance of electronic pharmacies through the National Electronic Pharmacy Platform (NEPP) among Ghanaian citizens. Methodology A cross-sectional quantitative survey was conducted, analyzing transaction data from 84 out of the 226 electronic pharmacies registered with NEPP. The d...
Article
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PurposeThe purpose of this research was to explore the effect and perceived empowerment of privately-owned consumer-oriented technologies on the performance of primary healthcare workers in a developing economy.Methods In this cross-sectional survey, stratified random sampling was used to identify and recruit primary healthcare workers. Structured...
Conference Paper
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The Cyber Security Act of Ghana was enacted as a result of the National Cyber Security Policy and Strategy in Ghana. However, two years after its implementation, progress has been slow. This paper aimed to explore the constraints and enabling factors affecting the implementation of the Cyber Security Act in Ghana, based on the International Communi...
Article
Full-text available
The objective of this study was to employ the association rules mining technique to find the frequent co-occurrences among maternal factors associated with birthweight. Secondary data consisting of 189 records with predictors that assess the risk factors that influence low neonatal birthweight were employed for association rules mining. The extract...
Article
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Despite the disruptiveness caused by the COVID-19 pandemic in the Global South, the superfcial and lacklustre use of information technology has been exposed, especially in the education sector. Meanwhile, the early stages of the pandemic saw academic institutions racing up to harness digital learning solutions, including social networks, to facilit...
Conference Paper
In recent times, social media has been a major tool where traces of clients’ engagements of a business product or services are kept. The petabytes of daily social media data are utilized to make informed decisions grounded in context. Businesses are tapping into this chunk of data to make intelligent decisions. The use of these Artificial Intellige...
Article
Personality traits play a significant role in many organisational parameters, such as job satisfaction, performance, employability, and leadership for employers. One of the major social networks, the unemployed derives satisfaction from is Facebook. The focus of this article is to introduce association rule mining and demonstrate how it may be appl...
Conference Paper
Blockchain technology (BT) has numerous appealing characteristics for which various stakeholders have taken keen interest in it. It has gained significant attention from sectors such as supply chain, healthcare, finance, etc. Despite the huge potential BT promises, it has still not received mainstream adoption outside cryptocurrencies, for well ove...
Chapter
Different personality traits respond differently to unfavourable life situations. Unemployment can have several negative social, economic, and domestic consequences. Many people use social media for a variety of reasons. The aim of this study is to examine the way different personality traits respond to Facebook in the period of unemployment. Data...
Chapter
Full-text available
Recent socio-economic trends have made Artificial intelligence (AI) a more vital institutional force driving development amongst countries with optimal opportunities and costs. Among researchers in this domain, the benefit of AI is highly espoused, having been underexplored in Africa. However, the outbreak of the COVID-19 pandemic has highlighted t...
Conference Paper
Towards post COVID-19 pandemic and future pandemic-like management, a natural language processing (NLP) was leveraged to understand the sentiments of Ghanaians through their public discourse in tweets during the lockdown period in Ghana. With the use of NLP, Feature words were extracted from the tweets and fed into three machine learning algorithms...
Chapter
Full-text available
At childbirth, a decision needs to be taken regarding the most suitable mode of delivery for mothers. Often, certain historical factors account for this decision, some of which are based on individuals' personal choices. In this study, secondary data containing attributes and mode of child delivery was analysed to predict the mother's mode of deliv...
Article
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This article illustrates a design approach for capturing, storing, indexing, and search of African traditional herbal medicine (ATHMed) framed on a hybrid-based knowledge model for efficient preservation and retrieval. By the hybrid approach, the framework was developed to include both the use of machine learning and ontology-based techniques. The...
Chapter
As the coronavirus disease 2019 (COVID-19) spreads worldwide, there were fears that the African continent would be torn apart by the pandemic. For instance, the World Health Organization reportedly warned that African countries should “prepare for the worst.” In this study, non-parametric data analytics and data mining techniques were deployed on f...
Article
Full-text available
Full terms and conditions of access and use, archived papers, submission instructions, a search tool, and much more can be found on the JISE website: http://jise.org ABSTRACT With a high attrition rate among students in online learning, educators and researchers have introduced gamified social media learning platforms which allow students to shar...
Article
Full-text available
Full terms and conditions of access and use, archived papers, submission instructions, a search tool, and much more can be found on the JISE website: http://jise.org ABSTRACT This study examined the use of a social media platform-WhatsApp-by computer science students for learning computing education in the context of a Nigerian education institutio...
Article
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Background: Accurate prediction and early recognition of type II diabetes (T2DM) will lead to timely and meaningful interventions, while preventing T2DM associated complications. In this context, machine learning (ML) is promising, as it can transform vast amount of T2DM data into clinically relevant information. This study compares multiple ML tec...
Article
Different personality traits respond differently to unfavourable life situations. Unemployment can have several negative social, economic, and domestic consequences. Many people use social media for a variety of reasons. The aim of this study is to examine the way different personality traits respond to Facebook in the period of unemployment. Data...
Conference Paper
Full-text available
The role played by incendiary messages identifies as online radicalism is a low-cost tool that has been a medium to violence and potential dangers to social media users and the society at large. The unregulated mass communication evolves as an overtly aggressive, a covertly aggressive, and non-aggressive society. Strategies to attract compliance to...
Article
BACKGROUND Neonatal mortality related to fetal growth is a public policy issue in Nigeria. METHOD To determine maternal characteristics associated with fetal growth and neonatal birth weight, a secondary analysis of data collected from 701 mothers using a multiple linear regression model was undertaken. FINDINGS Maternal age, parity, and weight w...
Article
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Purpose This study aims to investigate the gratifications driving the attitude and continuance use of mobile payment services in developing country context, such as Ghana. Also, the moderating effect of income and education on gratifications and attitude of users is explored. Design/methodology/approach Data was collected from conveniently sampled...
Article
Full-text available
This study investigates the concept of the digital transformation process and related capability implications for small and medium enterprises (SMEs) in developing economies. A qualitative exploratory study was conducted, involving eight SMEs on an e-commerce platform in Ghana. The findings show that digital transformation among SMEs follows a four...
Conference Paper
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Despite the significant research on motivation, engagement, and satisfaction in gamification, the quality of the information provided by instructors and designers to students on the gamified application has not received commensurate attention. One potential reason is that quality is an abstract notion that cannot be expressed by simple definition....
Conference Paper
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This study, which is a derivative from a main cyber-deviance research, presents a literature review on digital piracy between 2010 and 2020. A total of 112 articles across 24 journals selected from the Information Systems Senior Scholars' Basket and other relevant journals across 3 disciplines; namely economic, ethics and computer science were revi...
Article
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Integrating gamification in the learning process has become a significant factor in the success of teaching, learning, and research in higher education. Education can leverage gamification by enhancing learning management systems to make learning enjoyable and engaging for students. We, however, lack the underpinnings into factors affecting the acc...
Article
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Social media has become an important platform where users share, comment, discuss, communicate, interact, and play games. Aside from using social media for personal, social, and business purposes, the use of social media has gained attention, particularly for collaborative learning in the educational sector. This paper examines the role of social m...
Chapter
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Globalizing businesses from developing countries require a thoughtful strategy and adoption of state-of-the-art technologies to meet up with the rapidly changing society. Mobile money payment service is a growing service that provides opportunities for both the formal and informal sectors in Ghana. Despite its importance, fraudsters have capitalize...
Article
This article builds-on previous research around the exploration of the content of church-related tweets. It does so by exploring whether the qualitative thematic coding of such tweets can, in part, be automated by the use of machine learning. It compares three supervised machine learning algorithms to understand how useful each algorithm is at a cl...
Chapter
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Extant Information Systems (IS) curriculum research has focused on the nature of undergraduate IS programmes, particularly in the US and UK, eliciting calls for studies on graduate IS programmes and in regions beyond the US and UK. This study, consequently, looks at the nature of graduate IS programmes in Sub-Saharan Africa (SSA). Using a direct su...
Chapter
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This study systematically reviews extant contemporary literature on digital entrepreneurship in peer-reviewed journal articles over six years (2013–2018) from six journal databases. It involved a systematic literature review of 101 papers from 53 journals focusing on the publication outlets, yearly trends, themes, and associated theoretical and con...
Article
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Learners’ adaptation to academic trajectory is shaped by several influencing factors that ought to be considered while attempting to design an intervention towards improving academic performance. Emotion is one factor that influences students’ academic orientation and performance. Tracking emotions in text by psychologists have long been a subject...
Conference Paper
Full-text available
Globally, the acceptance and use of herbal and traditional medicine is on the rise. Africa, especially Ghana, has its populace resorting to African Traditional Herbal Medicine (ATHMed) for their healthcare needs due to its potency and accessibility. However, the practice involving its preparation and administration has come into question. Even more...
Article
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This study examines the link between SMEs death rate, unemployment rate and gross domestic product per capita (GDP) in the Czech Republic, Hungary, Poland and Slovakia. Authors used a panel dataset covering 2008 – 2013 collected from OECD and Eurostat database. Descriptive statistics and Pearson correlation techniques were used to analyse the dat...
Article
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Predicting the impact of suicide on incidental witnesses at an early stage helps to avert the possible side effect. When suicide is committed in public, incidental observers are left to grapple with it. In many cases, these incidental witnesses tend to experience the emotional side effect with time. In this study, we employed a Machine learning alg...
Chapter
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In this paper, an intelligent e-counselling system for automatic detection of emotion in text is evaluated. A support vector machine classifier was used for the development of the e-counselling system, hence we compared the performance of the e-counselling system’s classifier with WEKA’s Multinomial Naïve-Bayes and J48 decision tree classifiers. Wh...
Chapter
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This chapter describes how today's technology has provided flexibility for teachers and students to engage in academic discourse irrespective of the location. However, there is an ongoing debate regarding the influence of mobile devices on students' academic engagement and performance. Following this debate, these authors empirically investigate th...
Article
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Emotions are a core semantic component of human communication. Since counsellors are humans we assume that their own state of emotions could affect their intuitional effort when taking decisions concerning their clients. Therefore, the accuracy of detected emotions by counsellors could be doubtful. And this highlights the need for complementing the...
Article
Full-text available
Given the challenges associated with the analysis of emotions in text by counsellors, we present an intelligent e-counselling system for automatic detection of emotions and sentiments in text. The system- EmoTect- was developed using a supervised support vector machine learning classifier. Therefore, students’ life stories were collected and develo...
Article
Full-text available
Students’ academic achievement is largely driven by their social phenomena, which is shaped by social influence and opinion dynamics. In this paper, we employed a machine learning technique to detect social influence and sentiment in text-based students’ life stories. The life stories were first pre-processed and clustered using k-means with euclid...
Thesis
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While efforts are being made to effectively integrate information and communication technologies into personal-social counselling, this thesis contextualises the application of human language technologies for counselling delivery. With this in mind, a web-based e-counselling system has been developed for aiding counsellors in their decision making...
Conference Paper
Full-text available
We investigate the influence of counsellors’ state of emotions on their emotion perception through annotation agreement of emotions in text. Selected counsellors were tasked to annotate sample corpora from International Survey on Emotion Antecedents and Reactions (ISEAR), and students’ life stories. We explore the intra and inter-counsellors’ annot...
Article
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Hackathon is an event where programmers and subject field specialists collaborate intensively in teams with the ultimate aim to create and design fresh ICT (information and communication technology) based solutions to a given task in a limited time. In this study, we analyzed students’ perceptions and experience in a hackathon where they were to de...
Article
The informal sector employs the major part of workers in developing countries. Street trading is a common form of informal work. Despite its huge economic value in developing countries, little research is being done to improve street traders' empowerment and entrepreneurship. Also, development informatics is over-focused on social development and u...
Conference Paper
Full-text available
The urge to progressively motivate e-counselling in schools is somewhat dependent on students’ behavioral intention towards the use of the technology. Unified Theory of Acceptance and Use of Technology (UTAUT), a model for predicting behavioral use and acceptance of Information Technology system, was developed through a review and validation of eig...
Technical Report
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The paper presents a naive algorithm for Travelling salesman problem (TSP) using a dynamic programming approach (brute force). The idea is to compare its optimality with Tabu search algorithm. In the end, the results of the experiment show that brute force algorithm produces a relatively high optimal solution to that of the Tabu search. However, it...
Article
Full-text available
Given the current global trend of mimicking real life situations into digital counselling games and its related digital counselling platforms, we decided to contextually understand from the Ghanaian Senior High School students, their life challenges arising from their life stories. The study also explores the extent to which ICT is currently being...

Questions

Questions (2)
Question
I have over 8 citations to my published papers, but it seems its not reflected on my citation page. Is there any possibility of manually inserting or adding the cited papers to my page or get the citations on? Any ideas would be deeply appreciated.
Question
I am doing semi-supervised classification with WEKA. The test set of my data (twitter) is unlabeled (no class assigned) but replaced with (?). I used WEKA to convert the test data from csv to arff file, which sets automatic datatype of 'string' to the class attribute. When I try to run it after creating the model with my train data it seems to give errors regarding the string datatype given to the unlabelled class attribute. My question is what datatype is suitable for the class attribute in '?' to avoid glitches?  

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