The pandemic severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection has garnered the attention of scientists worldwide in the search for an effective treatment while also focusing on vaccine development....The pandemic severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection has garnered the attention of scientists worldwide in the search for an effective treatment while also focusing on vaccine development.Several drugs have been used for the management of coronavirus disease 2019(COVID-19),which has affected many hospitals and health centers worldwide.Statistically significant results are lacking on the effectiveness of the experimented drugs in reducing COVID-19 morbidity or mortality,as there are very few published randomized clinical trials.Despite this,the literature offers some material for study and reflection.This opinion review attempts to address three burning questions on COVID-19 treatment options.(1)What kind of studies are currently published or ongoing in the treatment of patients with COVID-19?(2)What drugs are currently described in the literature as options of treatment for patients affected by the infection?And(3)Are there specific clinical manifestations related to COVID-19 that can be treated with a customized and targeted therapy?By answering these questions,we wish to create a summary of current COVID-19 treatments and the anti-COVID-19 treatments proposed in the recent clinical trials developed in the last 3 mo,and to describe examples of clinical manifestations of the SARS-CoV-2 infection with a cause-related treatment.展开更多
In this study, methods to classify advertising reviews from shopping mall reviews are suggested. Advertising reviews are mostly written by companies and contain advertising contents. There are a few studies regarding ...In this study, methods to classify advertising reviews from shopping mall reviews are suggested. Advertising reviews are mostly written by companies and contain advertising contents. There are a few studies regarding the classification of opinion spam documents, which is very rare in foreign studies; however, there are no studies that classify advertising reviews from Korean reviews. In this study, the Naive Bayes Classifier was used to classify review documents and the POS （Part-of-Speech）-Tagging and bigram methods were used to extract specific words. The frequency calculation methods for the probability value of specific words were： （1） The general number of appearances of words （2） the frequency calculation of specific words through the suggested Latent Semantic Analysis （LSA）, and by recalculating the result from （1） in （2）, the performances of each method were compared. As a result, the methods from （2） showed 88.43% accuracy which is 8.89% higher than 79.54% which was the previous result from using the POS-Tagging ＋ Bigram method. Therefore, it was proved that the method suggested in this study is effective at classifying or extracting advertising reviews from Korean product review documents.展开更多
文摘The pandemic severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection has garnered the attention of scientists worldwide in the search for an effective treatment while also focusing on vaccine development.Several drugs have been used for the management of coronavirus disease 2019(COVID-19),which has affected many hospitals and health centers worldwide.Statistically significant results are lacking on the effectiveness of the experimented drugs in reducing COVID-19 morbidity or mortality,as there are very few published randomized clinical trials.Despite this,the literature offers some material for study and reflection.This opinion review attempts to address three burning questions on COVID-19 treatment options.(1)What kind of studies are currently published or ongoing in the treatment of patients with COVID-19?(2)What drugs are currently described in the literature as options of treatment for patients affected by the infection?And(3)Are there specific clinical manifestations related to COVID-19 that can be treated with a customized and targeted therapy?By answering these questions,we wish to create a summary of current COVID-19 treatments and the anti-COVID-19 treatments proposed in the recent clinical trials developed in the last 3 mo,and to describe examples of clinical manifestations of the SARS-CoV-2 infection with a cause-related treatment.
文摘In this study, methods to classify advertising reviews from shopping mall reviews are suggested. Advertising reviews are mostly written by companies and contain advertising contents. There are a few studies regarding the classification of opinion spam documents, which is very rare in foreign studies; however, there are no studies that classify advertising reviews from Korean reviews. In this study, the Naive Bayes Classifier was used to classify review documents and the POS （Part-of-Speech）-Tagging and bigram methods were used to extract specific words. The frequency calculation methods for the probability value of specific words were： （1） The general number of appearances of words （2） the frequency calculation of specific words through the suggested Latent Semantic Analysis （LSA）, and by recalculating the result from （1） in （2）, the performances of each method were compared. As a result, the methods from （2） showed 88.43% accuracy which is 8.89% higher than 79.54% which was the previous result from using the POS-Tagging ＋ Bigram method. Therefore, it was proved that the method suggested in this study is effective at classifying or extracting advertising reviews from Korean product review documents.
