scholarly journals Twitter Sentiment Analysis on Worldwide COVID-19 Outbreaks

2020 ◽  
pp. 54-65 ◽  
Author(s):  
Kamaran H. Manguri ◽  
Rebaz N. Ramadhan ◽  
Pshko R. Mohammed Amin
Keyword(s):  
Sentiment Analysis ◽  
Graphical Representation ◽  
Academic Research ◽  
Real Life ◽  
Government Agencies ◽  
Social Data ◽  
The Past ◽  
Twitter Data ◽  
Python Programming ◽  
The Web

In the past two decades, the growth of social data on the web has rapidly increased. This leads to researchers to access the data and information for many academic research and commercial uses. Social data on the web contains many real life events that occurred in daily life, today the global COVID-19 disease is spread worldwide. Many individuals including media organizations and government agencies are presenting the latest news and opinions regarding the coronavirus. In this study, the twitter data has been pulled out from Twitter social media, through python programming language, using Tweepy library, then by using TextBlob library in python, the sentiment analysis operation has been done. After the measuring sentiment analysis, the graphical representation has been provided on the data. The data we have collected on twitter are based on two specified hashtag keywords, which are (“COVID-19, coronavirus”). The date of searching data is seven days from 09-04-2020 to 15-04-2020. In the end a visualized presentation regarding the results and further explanation are provided.

Sentiment Recognition from Bangla Text

2013 ◽  
pp. 315-327 ◽  
Author(s):  
K. M. Azharul Hasan ◽  
Sajidul Islam ◽  
G. M. Mashrur-E-Elahi ◽  
Mohammad Navid Izhar
Keyword(s):  
Sentiment Analysis ◽  
Language Processing ◽  
Real Life ◽  
Research Problem ◽  
Product Reviews ◽  
Important Research ◽  
Sentiment Orientation ◽  
Negative Sentiment ◽  
Source Of Information ◽  
The Web

Sentiment analysis is a very important area of the natural language processing. In general, sentiment classification means the analysis to determine the expression of a speaker whether he or she holds positive or negative opinion to a specific subject. With the rapid growth of e-commerce, sentiment analysis can greatly influence everyone in their real life. For example, product reviews on the Web have become an important source of information for customers’ decision making when they want to buy any product. As the reviews are often too many for customers to go through, how to automatically classify and detect the sentiment from them has become an important research problem. In this chapter, the authors present a Sentiment Analyzer that recognizes the Bangla sentiment or opinion about a subject from Bangla text. They construct some phrase patterns and calculate their sentiment orientation. They add tags to words in the Bangla text to construct the phrase pattern for positive and negative sentiment. Then the authors match the phrase pattern in Bangla text with their predefined phrase pattern and cumulate the sentiment orientation of each sentence.

scholarly journals Program-Based Construction of Scientific Visualization

2021 ◽  
Vol 11 (3) ◽  
pp. 413-423
Author(s):  
Monday Eze ◽  
Charles Okunbor ◽  
Abel Samuel ◽  
Oluwatobi Akinmerese
Keyword(s):  
Scientific Visualization ◽  
Academic Research ◽  
Real Life ◽  
Programming Environment ◽  
Development Environment ◽  
Integrated Development ◽  
Python Programming Language ◽  
Residential University ◽  
Chronological Sequence ◽  
Python Programming

Scientific Visualization remains an integral and inevitable part of every meaningful scientific, industrial and academic research. The focus of this study is to demystify the evolution, design and programmatic construction of scientific visualizations. Real life demonstrations have been achieved in this work using Python Programming Language. This work begins by exploring the programming environment based on a Python Integrated Development Environment (IDE) – the Anaconda. The IDE usage was shown in a chronological sequence with accompanying visual outcomes. The use of plot libraries was discussed, and implemented in real life. One of the demonstration projects is the Zig-Zag plot. Studies were also done on sub-plotting, and how it is used in scientific visualizations, especially where there is necessity to generate variations of outputs originating from a singular dataset. The work also explores the use of pie charts for presentations. A real-life case of how this could be used to visualize the halls of a residential university was demonstrated, with each of the data components labelled in distinct colours. It is hoped that this work will serve as a foothold and useful guide to researchers and other practitioners involved in real life scientific visualization.

scholarly journals Sentiment Analysis of Roman-Urdu Tweets about Covid-19 Using Machine Learning Approach: A Systematic Literature Review

2021 ◽  
Vol 10 (2) ◽  
pp. 1112-1120
Keyword(s):  
Sentiment Analysis ◽  
English Language ◽  
Human Life ◽  
Morphological Structure ◽  
Learning Approach ◽  
The Past ◽  
Twitter Data ◽  
Machine Learning Approach ◽  
Effective Decision ◽  
Effective Decision Making

From the past decade, growth of social media encourages researchers to perform several academic studies on the user generated data. Sentiment Analysis is tool used to generate summary of public opinion about a topic, which helps in effective decision making. Most of the work in sentiment analysis has been performed on English Language Dataset. Many Languages such as Urdu, Hindi, and Italian faced lack of attention due to their complex morphological structure and unavailability of resources. COVID-19 has affected human life around the world. Many researchers have performed their studies using twitter data for knowing the sentiments of people throughout the time of pandemic. In this Paper we are giving a general overview about the process of Sentiment Analysis of Roman-Urdu Tweets. For the dataset query we have used the data generated by user about COVID19.

scholarly journals Customized QoS-based mashups for the web of things: An application of AHP

2015 ◽  
Vol 12 (1) ◽  
pp. 115-133
Author(s):  
Nikos Vesyropoulos ◽  
Christos Georgiadis
Keyword(s):  
Decision Analysis ◽  
Real Life ◽  
Value Added ◽  
Service Operations ◽  
Analysis Method ◽  
Web Of Things ◽  
The Past ◽  
Restful Service ◽  
Virtual Services ◽  
The Web

During the past few years the notion of the Web of Things (WoT) as a collection of innovative ideas and technologies, is emerging as a compelling way for businesses to provide value-added services to fulfill their clients? needs. By creating virtual counterparts of a number of real life objects, whose functionality can be accessed through simple RESTful service operations, an abundance of physical services can complement the existing services provided by an enterprise. This however can complicate things in matter of selection and composition of services for end-users. As a result, a need for new filtering techniques arises that can identify both physical and virtual services and provide value added mashups, based on personalized and QoS-based criteria. In this work, we propose a framework in order to address this issue, integrating a Multicriteria Decision Analysis method, in order to create customized QoS-based service mashups.

An historical analysis of species references in American English

Corpora ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 327-349
Author(s):  
Craig Frayne
Keyword(s):  
Environmental Change ◽  
Sentiment Analysis ◽  
Quantitative Methods ◽  
English Language ◽  
Language Use ◽  
American English ◽  
Historical Analysis ◽  
The Past ◽  
Corpus Studies ◽  
Google Books

This study uses the two largest available American English language corpora, Google Books and the Corpus of Historical American English (coha), to investigate relations between ecology and language. The paper introduces ecolinguistics as a promising theme for corpus research. While some previous ecolinguistic research has used corpus approaches, there is a case to be made for quantitative methods that draw on larger datasets. Building on other corpus studies that have made connections between language use and environmental change, this paper investigates whether linguistic references to other species have changed in the past two centuries and, if so, how. The methodology consists of two main parts: an examination of the frequency of common names of species followed by aspect-level sentiment analysis of concordance lines. Results point to both opportunities and challenges associated with applying corpus methods to ecolinguistc research.

ANALYSIS OF THE STRUCTURE AND PREDICTION OF HIV INFECTION INCIDENCE IN THE VORONEZH REGION

2020 ◽  
pp. 147-152
Author(s):  
Евгений Николаевич Коровин ◽  
Юлия Викторовна Сиромашенко ◽  
Владимир Николаевич Коровин
Keyword(s):  
Hiv Infection ◽  
Graphical Representation ◽  
Linear Trend ◽  
Risk Groups ◽  
Extrapolation Methods ◽  
The Past ◽  
Voronezh Region ◽  
The Future ◽  
Dynamic Series ◽  
Exponential Smoothing Method

В статье приведены анализ и прогнозирование основных статистических показателей, характеризующих развитие эпидемической ситуации по вирусу иммунодефицита человека (ВИЧ) в Воронежской области, а именно распределение по путям инфицирования. В качестве данных для прогнозирования были использованы показатели заболеваемости прошлых лет. Применяемый метод прогнозирования основан на методах экстраполяции. Все методы экстраполяции объединяет то, что они проецируют на будущее ход событий, сложившийся в прошлом. При этом не устанавливаются никакие причинные связи - принимается, что действующие в прошлом силы без существенных изменений будут действовать и в будущем. При формировании прогнозов с помощью экстраполяции исходят из статистически складывающихся тенденций изменения тех или иных количественных характеристик объекта за определённый период. Прогнозирование заболеваемости ВИЧ осуществляется с помощью метода экспоненциального сглаживания с использованием линейного тренда и выбором оптимальных параметров сглаживания. Трендом называют аналитическое или графическое представление изменения переменной во времени, полученное в результате выделения регулярной (систематической) составляющей динамического ряда. Основной целью анализа и прогнозирования является выявление основных тенденций по распространению ВИЧ-инфекции, определение основных путей инфицирование, а также выделение ключевых групп риска среди населения Воронежской области The article analyzes and predicts the main statistical indicators that characterize the development of the epidemic situation of human immunodeficiency virus (HIV) in the Voronezh region, namely, the distribution by infection pathways. Previous years ' morbidity rates were used as data for forecasting. The applied forecasting method is based on extrapolation methods. What all extrapolation methods have in common is that they project the course of events in the past into the future. At the same time, no causal relationships are established - it is assumed that the forces operating in the past will continue to operate in the future without significant changes. When forming forecasts using extrapolation, they are based on statistically developing trends in changes in certain quantitative characteristics of an object over a certain period. Predicting the incidence of HIV is carried out using the exponential smoothing method using a linear trend and choosing the optimal smoothing parameters. A trend is an analytical or graphical representation of changes in a variable over time, resulting from the allocation of a regular (systematic) component of a dynamic series. The main goal of the analysis and forecasting is to identify the main trends in the spread of HIV infection, identify the main routes of infection, and identify key risk groups among the population of the Voronezh region

Sentiment Analysis using Twitter Data

2020 ◽  
Vol 8 (5) ◽  
pp. 2253-2257
Author(s):  
Nikhil Srivastava
Keyword(s):  
Sentiment Analysis ◽  
Twitter Data

Summary of Results

2017 ◽  
Author(s):  
Adrian Kuenzler
Keyword(s):  
Intellectual Property ◽  
Supreme Court ◽  
Government Agencies ◽  
Property Law ◽  
Trademark Law ◽  
Intellectual Property Law ◽  
The Past ◽  
The Supreme Court ◽  
The Government ◽  
Networked Economy

The persuasive force of the accepted account’s property logic has driven antitrust and intellectual property law jurisprudence for at least the past three decades. It has been through the theory of trademark ownership and the commercial strategy of branding that these laws led the courts to comprehend markets as fundamentally bifurcated—as operating according to discrete types of interbrand and intrabrand competition—a division that had an effect far beyond the confines of trademark law and resonates today in the way government agencies and courts evaluate the emerging challenges of the networked economy along the previously introduced distinction between intertype and intratype competition. While the government in its appeal to the Supreme Court in ...

The Problem

2017 ◽  
Author(s):  
Mats Alvesson ◽  
Yiannis Gabriel ◽  
Roland Paulsen
Keyword(s):  
Social Sciences ◽  
Academic Research ◽  
Social Scientists ◽  
Research Papers ◽  
Prestigious Journal ◽  
The Past ◽  
The Social ◽  
Academic Researchers ◽  
History Of ◽  
Wide Gap

This chapter introduces ‘the problem’ of meaningless research in the social sciences. Over the past twenty years there has been an enormous growth in research publications, but never before in the history of humanity have so many social scientists written so much to so little effect. Academic research in the social sciences is often inward looking, addressed to small tribes of fellow researchers, and its purpose in what is increasingly a game is that of getting published in a prestigious journal. A wide gap has emerged between the esoteric concerns of social science researchers and the pressing issues facing today’s societies. The chapter critiques the inaccessibility of the language used by academic researchers, and the formulaic qualities of most research papers, fostered by the demands of the publishing game. It calls for a radical move from research for the sake of publishing to research that has something meaningful to say.

The Economics of Government

2020 ◽  
Author(s):  
Vito Tanzi
Keyword(s):  
Public Finance ◽  
Public Sector ◽  
Social Welfare ◽  
Real Life ◽  
Rent Seeking ◽  
Major Conclusion ◽  
The Public ◽  
The Past ◽  
Private Market

This book deals with practical or real life aspects of public finance. It focuses on the growth in the activities of governments, in a world that expects more than in the past from governments. The book focuses on the growing complexity in both the work of the private market and that of the public sector. It stresses that part of the growing complexity is due to the more ambitious role that governments tried to play today, while part is due to choices made by governments, so that complexity may be partly avoidable. This was important in the different pursuit of social welfare by different countries. Complexity has increased opportunities for abuses, for rent seeking, and for mistakes in policies. It may also have increased the attraction of populist policies that claim to offer magical or easy solutions to problems. A major conclusion of the book is that the objective of simplicity in laws and in policies should be given more importance by both economists and governments.

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