The Today Tendency of Sentiment Classification

Sentiment classification has already been studied for many years because it has had many crucial contributions to many different fields in everyday life, such as in political activities, commodity production, and commercial activities. There have been many kinds of the sentiment analysis such as machine learning approaches, lexicon-based approaches, etc., for many years. The today tendency of the sentiment classification is as follows: (1) Processing many big data sets with shortening execution times (2) Having a high accuracy (3) Integrating flexibly and easily into many small machines or many different approaches. We will present each category in more details

Latent Semantic Analysis using a Dennis Coefficient for English Sentiment Classification in a Parallel System

We have already survey many significant approaches for many years because there are many crucial contributions of the sentiment classification which can be applied in everyday life, such as in political activities, commodity production, and commercial activities. We have proposed a novel model using a Latent Semantic Analysis (LSA) and a Dennis Coefficient (DNC) for big data sentiment classification in English. Many LSA vectors (LSAV) have successfully been reformed by using the DNC. We use the DNC and the LSAVs to classify 11,000,000 documents of our testing data set to 5,000,000 documents of our training data set in English. This novel model uses many sentiment lexicons of our basis English sentiment dictionary (bESD). We have tested the proposed model in both a sequential environment and a distributed network system. The results of the sequential system are not as good as that of the parallel environment. We have achieved 88.76% accuracy of the testing data set, and this is better than the accuracies of many previous models of the semantic analysis. Besides, we have also compared the novel model with the previous models, and the experiments and the results of our proposed model are better than that of the previous model. Many different fields can widely use the results of the novel model in many commercial applications and surveys of the sentiment classification

Risk analysis of energy in Vietnam

The purpose of the paper is to estimate market risk for the ten major industries in Vietnam. The focus is on the Energy sector, which has been designated as one of the four key industries, together with Services, Food, and Telecommunications, targeted for economic development by the Vietnam Government through to 2020. Oil and Gas is a separate energy-related major industry. The data set is from 2009 to 2017, which is decomposed into two distinct sub-periods after the Global Financial Crisis (GFC), namely the immediate post-GFC (2009-2011) period and the normal (2012-2017) period, in order to identify the behaviour of market risk for Vietnam major industries. Two widely-used approaches to measure and analyze risk are used in the empirical analysis, namely Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). The empirical findings indicate that Energy and Pharmaceuticals are the least risky industries, whereas Oil and Gas and Securities have the greatest risk. In general, there is strong empirical evidence that the four key industries display relatively low risk. For public policy, the Vietnam Government’s pro-active emphasis on the targeted industries, including Energy, to achieve sustainable economic growth and national economic development, seems to be working effectively

Market risk analysis of energy in Vietnam

The purpose of this paper is to evaluate and estimate market risk for the ten major industries in Vietnam. The focus of the empirical analysis is on the energy sector, which has been designated as one of the four key industries, together with services, food, and telecommunications, targeted for economic development by the Vietnam Government through to 2020. The oil and gas industry is a separate energy-related major industry, and it is evaluated separately from energy. The data set is from 2009 to 2017, which is decomposed into two distinct sub-periods after the Global Financial Crisis (GFC), namely the immediate post-GFC (2009–2011) period and the normal (2012–2017) period, in order to identify the behavior of market risk for Vietnam’s major industries. For the stock market in Vietnam, the website used in this paper provided complete and detailed data for each stock, as classified by industry. Two widely used approaches to measure and analyze risk are used in the empirical analysis, namely Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). The empirical findings indicate that Energy and Pharmaceuticals are the least risky industries, whereas oil and gas and securities have the greatest risk. In general, there is strong empirical evidence that the four key industries display relatively low risk. For public policy, the Vietnam Government’s proactive emphasis on the targeted industries, including energy, to achieve sustainable economic growth and national economic development, seems to be working effectively. This paper presents striking empirical evidence that Vietnam’s industries have substantially improved their economic performance over the full sample, moving from relatively higher levels of market risk in the immediate post-GFC period to a lower risk environment in a normal period several years after the end of the calamitous GFC

Geo-chemical fractionations of arsenic and lead in the surface sediments of Thuy Trieu lagoon, Khanh Hoa province

The sequential extraction method of Tessier et al. was applied to identify the phase associations of As and Pb in the surface sediment of Thuy Trieu lagoon. The results showed that these two metals were mainly found in the residual fractions. Meanwhile, the carbonate fractions stayed at the lowest portions. Levels of arsenic and lead as Fe-Mn oxide fractions were higher than those as organic fractions and exchangeable fractions. Exchangeable fractions and carbonate fractions of two elements seemed to increase in rainy season. Generally, the mobility of Pb was higher than that of As. In the sediments of Thuy Trieu lagoon, Pb levels cannot currently cause adverse effects on the ecosystems. On the contrary, the risk of As was assessed as moderate level

What Factors Affect Income Inequality and Economic Growth in Middle-Income Countries?

Income inequality in many middle-income countries has increased at an alarming level. While the time series relationship between income inequality and economic growth has been extensively investigated, the causal and dynamic link between them, particularly for the middle-income countries, has been largely ignored in the current literature. This study was conducted to fill in this gap on two different samples for the period from 1960 to 2014: (i) a full sample of 158 countries; and (ii) a sample of 86 middle-income countries. The Granger causality test and a system generalized method of moments (GMM) are utilized in this study. The findings from this study indicate that causality is found from economic growth to income inequality and vice versa in both samples of countries. In addition, this study also finds that income inequality contributes negatively to the economic growth in the middle-income countries in the research period

Centrifugally Spun Recycled PET: Processing and Characterization

Centrifugal spinning, which is a high-productivity fiber fabrication technique, was used to produce a value-added product from recycled poly(ethylene terephthalate) (rPET). In the present study, rPET fibers, with fiber diameters ranging from submicron to micrometer in scale, were fabricated by spinning a solution of rPET in a mixture of dichloromethane and trifluoroacetic acid. The influence of the polymer solution concentration (the viscosity), the rotational speed of the spinneret, and the inner diameter of the needles on the formation and morphology and mechanical properties of the fibers were examined through scanning electron microscopy and using a tensile testing machine. The thermal behaviors of fibrous mats with various average diameters were also investigated through differential scanning calorimetry. The smoothest and smallest fibers, with an average diameter of 619 nm, were generated using an rPET solution of 10 wt % under a rotation speed of 15,000 rpm using needles having an inner diameter of 160 μm. The fibrous mats have an average tensile strength and modulus of 4.3 MPa and 34.4 MPa, respectively. The productivity and the mechanical properties indicate that centrifugal spinning is an effective technique to fabricate high-value product from rPET

Intellectual Capital and Firm Performance in Vietnam: The Moderating Role of Corporate Social Responsibility

The effects of intellectual capital on firm performance have been extensively investigated. However, the important role of corporate social responsibility in moderating this intellectual capital–performance nexus has largely been neglected in the existing literature. This study uses a sample of 60 listed firms on the Ho Chi Minh Stock Exchange from 2011 to 2020 to examine the independent and joint effects of intellectual capital and corporate social responsibility on firm performance in Vietnam. The generalized method of moments is used. We find that both independent and joint effects exist. Furthermore, our results suggest that structural capital efficiency and capital employed efficiency are the two critical components of intellectual capital affecting firm performance. Interestingly, the joint effects of intellectual capital and CSR on firm performance are also confirmed in our analysis. These findings shed light on important policy implications concerning managerial policies targeting both intellectual capital and corporate social activities to improve firm performance in Vietnam

Intellectual Capital and Firm Performance in Vietnam: The Moderating Role of Corporate Social Responsibility

The effects of intellectual capital on firm performance have been extensively investigated. However, the important role of corporate social responsibility in moderating this intellectual capital–performance nexus has largely been neglected in the existing literature. This study uses a sample of 60 listed firms on the Ho Chi Minh Stock Exchange from 2011 to 2020 to examine the independent and joint effects of intellectual capital and corporate social responsibility on firm performance in Vietnam. The generalized method of moments is used. We find that both independent and joint effects exist. Furthermore, our results suggest that structural capital efficiency and capital employed efficiency are the two critical components of intellectual capital affecting firm performance. Interestingly, the joint effects of intellectual capital and CSR on firm performance are also confirmed in our analysis. These findings shed light on important policy implications concerning managerial policies targeting both intellectual capital and corporate social activities to improve firm performance in Vietnam