This paper introduces Punjabi Annotated Emotional Text Database which has been created to classify human emotions in six different categories as anger, disgust, fear, happiness, sadness and surprise. Various online resources are used to prepare this database and then various preprocessing steps are applied to normalize the data. Text containing total 354796 words is collected. Database of these words consists of each category of above discussed. This database has been verified by 150 people of an average age group from 15 years to 50 years. For this randomly 10 sentences of all the classes were given to recognize the emotion category present in the specified sentence. Results of verification are measured under various standard metrics. Finally, this annotated emotional database is used for the development of emotion detection system for Punjabi text data.

Punjabi Text, Annotated Emotional Database, Emotion Detection, Recognition Rate