Studying translations during the time of conflict has gained currency in the recent decade in translation studies. One of the cases in which conflict manifests itself is in the way different countries choose to name an event or a geographical location, for example. This study set out to understand how translation of rival names and labeling was carried out in Iranian state-run news agencies. To...

studying translations during the time of conflict has gained currency in the recent decade in translation studies. one of the cases in which conflict manifests itself is in the way different countries choose to name an event or a geographical location, for example. this study set out to understand how translation of rival names and labeling was carried out in iranian state-run news agencies. to...

Is the concept of stock market speculations, related with the news in the news papers? This study mainly focus on the correlation between economy news from one of the highest circulation rate news paper in Turkey and Istanbul stock market closing values. Data set is collected from the web page of news paper in natural language and text mining technique, term frequency – inverse document frequen...

We present a preliminary study on predicting news values from headline text and emotions. We perform a multivariate analysis on a dataset manually annotated with news values and emotions, discovering interesting correlations among them. We then train two competitive machine learning models – an SVM and a CNN – to predict news values from headline text and emotions as features. We find that, whi...

INTRODUCTION The Royal College of Physicians (RCPL) National Early Warning Score (NEWS) escalates care to a doctor at NEWS values of ≥5 and when the score for any single vital sign is 3. METHODS We calculated the 24-h risk of serious clinical outcomes for vital signs observation sets with NEWS values of 3, 4 and 5, separately determining risks when the score did/did not include a single score...