Machine learning methods have made possible the classification of large corpora of text by measures such as topic, tone, and ideology. However, even when using dictionary-based methods that require few inputs by the analyst beyond the text itself, many decisions must be made before a measure of any kind is produced from the text. When coding media the analyst must decide on the universe of medi...

Considering the problem of multi-source heterogeneous cross-media text information in the field of aviation safety is difficult to share, the paper proposed a domain ontology learning method for civil aviation emergency management. The use of adaptive the NLPIR word segmentation and filtering methods to obtain the candidate term dataset. LDA topic model of domain ontology was designed, through ...

results in this study, a significant relation was established between the three areas or domains of learning: 1) knowledge domain (learning the theoretical basis of necessity-based training); 2) motivational domain (how to motivate collection, classification, etc. and 3) the technical domain (how trauma experts and specialists can recognize and classify needs practically. our findings suggest t...

In present scenarios, employee training is widely considered as the source of gaining competitive advantage. However, the effect of employee training on organisational performance in the print-media industry remains largely unexamined in the African context. This paper investigates the effect of employee training on organisational performance using Graphic Communication Group Limited as a case ...

Background and purpose: Media literacy is defined as the ability to access, analyze, and evaluate the messages transferred by the media, which has the various dimensions, including the creativity, critical thinking and problem solving. This study was conducted with the aim of investigating the media literacy in students of Mazandaran University of Medical Sciences. Material and Method: In this...

Although sentiment analysis has attracted a lot of research, little work has been done on social media data compared to product and movie reviews. This is due to the low accuracy that results from the more informal writing seen in social media data. Currently, most of sentiment analysis tools on social media choose the lexicon-based approach instead of the machine learning approach because the ...

Background: Several complications may occur in patients after coronary artery bypass grafting (CABG) leading to decreased self-efficacy. Rehabilitation training is the best method for reducing the complications and increasing self-efficacy. Various educational techniques lead to different rehabilitation results and levels of self-efficacy. Improving these measures requires the selection of the...