LexDeep:Hybrid Lexicon and Deep Learning Sentiment Analysis Using Twitter for Unemployment-Related Discussions During COVID-19

The COVID-19 pandemic has spread globally,resulting in financialinstability in many countries and reductions in the per capita grossdomestic product.Sentiment analysis is a cost-effective method for acquiringsentiments based on household income loss,as expressed on social media.However,limited research has been conducted in this domain using theLexDeep approach.This study aimed to explore social trend analytics usingLexDeep,which is a hybrid sentiment analysis technique,on Twitter to capturethe risk of household income loss during the COVID-19 pandemic.First,tweet data were collected using Twint with relevant keywords before(9 March2019 to 17 March 2020)and during(18 March 2020 to 21 August 2021)thepandemic.Subsequently,the tweets were annotated using VADER(lexiconbased)and fed into deep learning classifiers,and experiments were conductedusing several embeddings,namely simple embedding,Global Vectors,andWord2Vec,to classify the sentiments expressed in the tweets.The performanceof each LexDeep model was evaluated and compared with that of a supportvector machine(SVM).Finally,the unemployment rates before and duringCOVID-19 were analysed to gain insights into the differences in unemploymentpercentages through social media input and analysis.The resultsdemonstrated that all LexDeep models with simple embedding outperformedthe SVM.This confirmed the superiority of the proposed LexDeep modelover a classical machine learning classifier in performing sentiment analysistasks for domain-specific sentiments.In terms of the risk of income loss,the unemployment issue is highly politicised on both the regional and globalscales;thus,if a country cannot combat this issue,the global economy will alsobe affected.Future research should develop a utility maximisation algorithmfor household welfare evaluation,given the percentage risk of income lossowing to COVID-19.

Urbanization,unemployment rate and China' rising divorce rate

This paper analyzes the impacts of urbanization and unemployment rate on China's divorce rate with the panel data of 31Chinese provinces from 2000 to 2011.The study manifests as follows.First,the significant influence of urbanization cannot be observed on the rising breakdown since the latter is not the inevitable result of the former.In the second place,unemployment rate has a significant negative influence on divorce rate,namely,with the former increasing,the latter will decrease,which echoes the perspective of divorce cost.And finally,this paper also finds positive effects of per capita fixed investment,old-age dependency rate,average household size,the proportion of floating population and population density,and negative correlation of average education attainment on divorce rate.

COVID-19 and Unemployment: A Novel Bi-Level Optimal Control Model

Since COVID-19 was declared as a pandemic in March 2020,the world’s major preoccupation has been to curb it while preserving the economy and reducing unemployment.This paper uses a novel Bi-Level Dynamic Optimal Control model(BLDOC)to coordinate control between COVID-19 and unemployment.The COVID-19 model is the upper level while the unemployment model is the lower level of the bi-level dynamic optimal control model.The BLDOC model’s main objectives are to minimize the number of individuals infected with COVID-19 and to minimize the unemployed individuals,and at the same time minimizing the cost of the containment strategies.We use the modified approximation Karush–Kuhn–Tucker(KKT)conditions with the Hamiltonian function to handle the bi-level dynamic optimal control model.We consider three control variables:The first control variable relates to government measures to curb the COVID-19 pandemic,i.e.,quarantine,social distancing,and personal protection;and the other two control variables relate to government interventions to reduce the unemployment rate,i.e.,employment,making individuals qualified,creating new jobs reviving the economy,reducing taxes.We investigate four different cases to verify the effect of control variables.Our results indicate that rather than focusing exclusively on only one problem,we need a balanced trade-off between controlling each.

Threshold Parameter for the Control of Unemployment in the Society: Mathematical Model and Analysis

Unemployment is one of the major vices in our contemporal society, which weigh greatly on the economy of such nation. It is also, a fact that knowing ones enemy before battle gives 50 per cent chance of victory;thus, this research aimed at providing understanding about dynamics of unemployment with consideration for retirement and possible control criterion. And the objectives are;formulation of mathematical model using the concept of deterministic model and mathematical epidemiology;then, model analysis. The model analysis includes, a numerical semi-analytical scheme for investigating validity of analytical solutions. The result of the analysis were that: 1) the model was mathematically well-pose and biologically meaningful 2) two equilibria points exist, and 3) a threshold for recruitment from the pool of unemployment, assuring victory in the fight against unemployment was also, obtained. The threshold is required to be well managed in order to win the battle against the socio-vice (unemployment) in the contemporary society. In addition, variational iterative method (VIM) is the numerical semi-analytic scheme employed to solve the model;thus, the approximate solution gave a practical meaningful interpretation supporting the analytical results and proof of verdict of assumptions of the model. The article concluded with three points;everyone has roles to play to curtail the socio-menace, beseech government and policy makers to look kindly, and create policy(ies) to sustain population growth, and the retiree should also, plan live after service, because over dependence on pension scheme could be died before death because of corruption in the scheme.

Currency Areas: Public Debt, Inflation and Unemployment

Can public debt, inflation and unemployment tell us something about optimal or not optimal currency areas? In this paper, I compare the behavior of these variables in two countries, Mexico and the United States of America (USA), along with the member countries of the Euro Zone (European Monetary Union, or EMU). The main purpose is to know the divergence between public debt, average inflation ﹣0% in the graphs—in the main cities or regions of the first two, and compare them with the countries of the EMU. The period of 2001-2012 is chosen to be the years in which the Euro has been circulating among member countries of the Monetary Union (EMU). We find significant differences that allow us to determine the faults that the criteria of divergence on these variables had on the founding treaty of the European Monetary Union.

Factors and Determinants of Interregional Unemployment Rate Differences in Rural Russia

This study involves an econometric assessment of the impact that macroeconomic, institutional, structural, demographic and social variables produce on the rate of and interregional differences in rural unemployment. We classify the regions of Russia by the rate of overall and rural unemployment and characterize the groups of regions we have selected according to key parameters of the labor market and features of regional development. Employing a regression analysis, this paper focuses on the factors of regional unemployment in the subjects of Russian Federation. When making our regression models, stepwise regression methods were used. Evaluating the regression models that include demographic, economic and social factors, we identify the determinants of rural unemployment. The regression analysis was carried out for both the Russian Federation as a whole and each of the typological groups individually. We find that such factors like a big share of young people in the structure of the rural population and a low level of education of rural residents do contribute to the growth of rural unemployment. At the same time, higher employment, diversification of the rural economy through promoting non-agricultural employment, and higher levels of vocational education among rural residents cause the rate of rural unemployment to fall.

Reducing unemployment in China's economy

China’s great transformation,launched three decades ago,has changed the fate of hundreds of millions of people,including Liu Wei,an "educated youth" at the time. After having witnessed the seeming insignificance and helplessness of individuals in the face of grand social movements over the past 30 years,Liu,now an economist,shifted his attention to how the fate of ordinary people changes amid the rising and ebbing tides of the economy. While people fret over the future national well-being during complicated policy changes,Liu pointed out that employment holds key to China’s economy because employment has a direct bearing on people’s livelihood.

There are Steps to Bring Down Unemployment

For both India and China,the fundamental issue to solving the question of job creation is to maintain growth momentum.If we don’t grow we cannot create fresh employment.At the same time,growth must be employment friendly.Even existing businesses must grow,otherwise they die out.Being

The Role of Artificial Intelligence Tax in Reducing the Unemployment Problem

The fear of the impact of artificial intelligence applications in the labor market on unemployment rates has increased.After the total global investment in this field did not exceed eight billion dollars in 2015,the global market for artificial intelligence globally will reach about 70 billion dollars by 2025.Many economic analysts believe that the application of artificial intelligence in industrial fields in particular will produce factories with much fewer employees than the current number,which will cause an increase in unemployment rates.Therefore,countries are trying to adapt to these systems,not only at the level of research and development of these systems,but also on the extent of strategic planning for the change they bring about on the economic level in general,and on the labor market in particular.One of the tools that these countries can use in their attempts to solve this problem is the artificial intelligence tax.

Monetary Policy and Unemployment:The Case of Romania

The paper aims to analyze the monetary transmission model between the monetary policy and the labor market variable of unemployment.The results of the data show that,the external shocks have an important impact especially on the Romanian interest rates but also on the domestic production;however,the impact is not significant on unemployment,which proves the resilience of the domestic labor market.The central bank policy rate has a stabilizing effect on the unemployment rate in case of an increase in the euro area policy rate.

Stress, Executive Function, Resilience and Quality of Life in Portuguese Subjects in Situations of Economic Insufficiency and Unemployment

The aim of this study is the investigation of the impact of stress of Portuguese subjects in situations of economic insufficiency and unemployment on executive function and quality of life and the coping strategies and resilience skills used. The sample consists of 41 participants. The psychometric instruments used are validated for Portuguese population, measure (perceived) stress, coping, material deprivation, resilience and quality of life, defined by World Health Organization. Executive function has been evaluated through performances at Stroop and Berg tasks. It has been concluded that, in this population, resilience skills and active coping strategies are positively correlated with quality of life. Quality of life is negatively correlated with material deprivation. Active coping strategies are supported by adequate executive function, which neurobiological substrate is dorso-lateral prefrontal cortex. Not active coping strategies correlate negatively with cognitive flexibility, suggesting the presence of a deficit at infero-lateral prefrontal cortex.

SOUTH AFRICA Unemployment Rate Drops

South Africa's unemployment rate has slightly declined to 27.1 percent in the fourth quarter of 2018 from 27.5 percent in the previous quarter,data released by Star,tics South Africa showed.

Unemployment in china

In the transition from the plarned economy of the past to the socialist market economy of the pre-sent,people in charge of employ-ment in China have had to face many unprecedented problems and challenges.The problems are no doubt temporary.China is a country like no other:it has to establish its own unique employment system-one that will gradually and smooth-ly lock in with the socialist market economy as the latter takes shape.Not an easy task,but as long as the economy continues to grow and stay healthy,so will employment statis-tics.

Unemployment,a Problem Being Solved in China

Ｕｎｅｍｐｌｏｙｍｅｎｔ，ａＰｒｏｂｌｅｍＢｅｉｎｇＳｏｌｖｅｄｉｎＣｈｉｎａＢｙｓｔａｆｆｒｅｐｏｒｔｅｒＬＩＸＩＡＣｈｉｎａｗｏｒｋｓｔｏｃｏｍｐｌｅｔｅｔｈｅｔｒａｎｓｉｔｉｏｎｔｏａｓｏｃｉａｌｉｓｔｍａｒｋｅｔｅｃｏｎｏｍｙ．Ｊｉｎｇｓｈａ...

Self-employment in Urban China:Entrepreneurship or Disguised Unemployment?

To explore the mechanism of entry to the self-employed sector in urban China,this study tested two hypotheses:the entrepreneurship hypothesis and the disguised unemployment hypothesis,investigating the impact of mass entrepreneurship and innovation policies on business start-ups.Three main findings emerged.First,the entrepreneurship hypothesis was rejected for both local urban residents and migrants in 2013 but was supported for both groups in 2018.Second,the causality relationship between mass entrepreneurship and innovation policies and business starts-ups was not significant.Third,the results differed by group.The entrepreneurship hypothesis was supported for the younger generation of migrants in 2018 but was clearly rejected for the less educated,both in the local urban resident and migrant groups in 2013 and 2018.Robustness checks confirmed these conclusions.