Purmohammad, Mehdi
Assistant professor, Department of Cognitive Linguistics Institute for Cognitive Science Studies (ICSS), Pardis
[ 1 ] - Emotion Detection in Persian Text; A Machine Learning Model
This study aimed to develop a computational model for recognition of emotion in Persian text as a supervised machine learning problem. We considered Pluthchik emotion model as supervised learning criteria and Support Vector Machine (SVM) as baseline classifier. We also used NRC lexicon and contextual features as training data and components of the model. One hundred selected texts including pol...
[ 3 ] - Computational Modeling of 2-sided Message’s Effects on Perceived Argument Strength
The aim of this research is studying of 2-sided message’s effects on persuasiveness of anti-drug messages by computational modeling method. It’s been done for getting more effective and more persuasive messages. Persuasiveness of messages is measured be perceived argument strength of them which is determined by audiences. In this research, according to formative researches, a method for measuri...
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