Generating an Emotion Ontology for Roman Urdu Text
Gule Zulf Nargis, Noreen Jamil
International Journal of Computational Linguistics Research , Vol. 7, No. 3, 2016.
DOI: 
Link: http://www.dline.info/jcl/fulltext/v7n3/jclv7n3_1.pdf
Abstract:
Roman Urdu text is most common used language on social networking media in Pakistan and India. It is common knowledge that in roman Urdu text, a large number of phrases and terms are used to represent emotions. In the recent times, Urdu roman has emerged into extra frequent language,  for the reason that the people have a choice to discuss emotions and display their emotions in their personal language. Emotion analysers recognized for extra well-studied languages, identical British, stay not feasible developed for Urdu or roman Urdu, due to their scripted, morphological, and language changes. In this paper, the researcher presents an approach to parse roman Urdu by developing an emotion ontology. Here, a key phase was parsing of roman Urdu text. The proposed motion ontology is used for classification of emotion from roman Urdu text in different categories.