Investigating the Neural Models for Irony Detection on Turkish Informal Texts

Irony is defined as the expression of one's meaning by using language that normally signifies the opposite, typically for humorous or emphatic effect. In the textual context, it can be considered as a specific type of opinion mining problem. However, due to the nature of the problem, it is generally more challenging to detect. Irony detection is useful to understand the semantics of a text. It also helps improving the accuracy of many other text mining tasks. In this paper, we study the irony detection problem on Turkish informal texts. In the literature there are several solutions proposed mostly for English texts. However, the number of studies on Turkish texts is very limited. The reason for using informal text is that ironic expressions are seen more frequently in informal communication media such as blogs, social media posts. Previously, performance of conventional supervised learning based solutions, such as Naive Bayes Classifier and SVM, on Turkish texts have been studied. In this work, we investigate the performance of neural network based models in comparison to conventional supervised learning models

Best Practice Recommendations for Geriatric Dysphagia Management with 5 Ws and 1H

Background: Dysphagia is a geriatric syndrome. Changes in the whole body that occur with aging also affect swallowing functions and cause presbyphagia. This condition may progress to oropharyngeal and/or esophageal dysphagia in the presence of secondary causes that increase in incidence with aging. However, no study has been published that provides recommendations for use in clinical practice that addresses in detail all aspects of the management of dysphagia in geriatric individuals. This study aimed to answer almost all potential questions and problems in the management of geriatric dysphagia in clinical practice. Methods: A multidisciplinary team created this recommendation guide using the seven-step and three-round modified Delphi method via e-mail. The study included 39 experts from 29 centers in 14 cities. Results: Based on the 5W and 1H method, we developed 216 detailed recommendations for older adults from the perspective of different disciplines dealing with older people. Conclusion: This consensus-based recommendation is a useful guide to address practical clinical questions in the diagnosis, rehabilitation, and follow-up for the management of geriatric dysphagia and also contains detailed commentary on these issues