Analysis of Evaluated Sentiments; a Pseudo-Linguistic Approach and Online Acceptability Index for Decision-Making with Data: Nigerian Election in View
Okpala Izunna Udebuana,
Ijioma Patricia Ngozi,
Emejulu Augustine Obiajulu
Issue:
Volume 7, Issue 2, June 2019
Pages:
39-44
Received:
9 August 2019
Accepted:
24 August 2019
Published:
9 September 2019
Abstract: Sentiments measured properly always give direction to future occurrences. Without an expression through feelings plus sensitive statements, it would be difficult to predict future occurrence. But when feelings are expressed through spoken languages or written texts, a projection of future event can be evaluated to an extent. Nigeria is blessed with intellectuals and over 48% of the population are actively involved in social media. The beauty of this great nation is in its diversity and practice of democracy. Since independence, they have experienced variations in handling their hard-earned democracy. The goal of this paper is to compare analyzed sentiments from the Nigerian people across the 6 geopolitical zones and the aftermath of the Nigerian election in 2019. Data is retrieved from the social media using python programming language across 2 major platforms twitter and Facebook. A word cloud is introduced later to differentiate various sentiments using a spiral loop to map the various artifacts into corpora. Vader machine learning system called Sentiment Intensity Analyzer was used to the analyze each statement to retrieve positive and negative sentiments. This study employs two methodologies, quantitative and qualitative methods with significant levels of descriptive approach in data analysis. The researchers explore the results of the analysis to verify whether significant decisions can be made in the future from data generated from social media, using the 2019 Nigerian election as a case study. A dashboard was developed to plot the different feelings and how they influenced the general election outcome. PHP and JavaScript were used to achieve this. It is recommended that stakeholders in the ‘digital humanities and arts’ explore the findings in this paper especially if the result comes at least close to 80% of the real result.
Abstract: Sentiments measured properly always give direction to future occurrences. Without an expression through feelings plus sensitive statements, it would be difficult to predict future occurrence. But when feelings are expressed through spoken languages or written texts, a projection of future event can be evaluated to an extent. Nigeria is blessed with...
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The Rise of Big Data and Cloud Computing
Mohaiminul Islam,
Shamim Reza
Issue:
Volume 7, Issue 2, June 2019
Pages:
45-53
Received:
19 August 2019
Accepted:
4 September 2019
Published:
19 September 2019
Abstract: Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, transport, process, mine and serve the data. Cloud computing provides fundamental support to address the challenges with shared computing resources including computing, storage, networking and analytical software; the application of these resources has fostered impressive Big Data advancements. This paper surveys the two frontiers – Big Data and cloud computing – and reviews the advantages and consequences of utilizing cloud computing to tackling Big Data in the digital earth and relevant science domains. While Big Data is responsible for data storage and processing, the cloud provides a reliable, accessible, and scalable environment for Big Data systems to function. Big Data is defined as the quantity of digital data produced from different sources of technology, for example, sensors, digitizers, scanners, numerical modeling, mobile phones, Internet, videos, social networks. Cloud Computing and Big Data are complementary to each other. Rapid growth in Big Data is regarded as a problem. Clouds are evolving and providing solutions for the appropriate environment of Big Data while traditional storage cannot meet the requirements for dealing with Big Data, in addition to the need for data exchange between various distributed storage locations. Cloud Computing provides solutions and addresses problems with Big Data. Big data and Cloud computing both the technologies are valuable on its own. Furthermore, many businesses are targeting to combine the two techniques to reap more business benefits. Both the technologies aim to enhance the revenue of the company while reducing the investment cost. While Cloud manages the local software, Big data helps in business decisions. In paper introduces the relationship between Big Data and Cloud Computing, Cloud Computing role of Big Data, advantages of Big Data and Cloud computing, cloud architecture, importance of Cloud Computing.
Abstract: Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital earth applications including business, sciences and engineering. At the same time, Big Data presents challenges for digital earth to store, tr...
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