Sarcasm is a sort of sentiment where public expresses their negative emotions using positive word within the text. It is very tough for humans to acknowledge. In this way we show the interest in sarcasm detection of social media text, particularly in tweets. In this paper we study new method pattern based approach for sarcasm detection, and also used behavioral modelling approach for effective sarcasm detection by analyzing the content of tweets however by conjoint exploiting the activity traits of users derived from their past activities. By using the various classifiers such as Random Forest, Support Vector Machine (SVM), k Nearest Neighbors (k-NN) and Maximum Entropy, we check the accuracy and performance.
Acute cardiac tamponade requires urgent diagnosis and treatment. Spontaneous
hemopericardium leading to cardiac tamponade as an initial manifestation of essential
thrombocythemia (ET) has never been reported in the literature. We report a case of a 72-year-old Caucasian female who presented with spontaneous hemopericardium and tamponade requiring emergent pericardiocentesis. The patient was subsequently diagnosed to have ET. ET is characterized by elevated platelet counts that can lead to thrombosis but paradoxically it can also lead to a bleeding diathesis. Physicians should be aware of this complication so that timely life-saving measures can be taken if this complication arises.
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