An Intelligent System to Classify Natural Language Processing: Sentiment Analysis and Sarcasm Detection in Low-Resource Urdu Language – A Case Study.

Home > thesis > An Intelligent System to Classify Natural Language Processing: Sentiment Analysis and Sarcasm Detection in Low-Resource Urdu Language – A Case Study.

Ph.D. thesis final defense of Mr. Muhammad Ehtisham Hassan, a doctoral candidate in the Faculty of Computer Science and Engineering (FCS&E)Reg. No. CS1901.

The title of Mr. Ehtisham Hassan’s thesis is:
“An Intelligent System to Classify Natural Language Processing: Sentiment Analysis and Sarcasm Detection in Low-Resource Urdu Language – A Case Study.”

His research work has been supervised by Prof. Dr. Masroor HussainHead of Department (CE & DS), FCS&E.

The final defense is scheduled as follows:

📅 Date: Friday, April 11, 2025
🕝 Time: 2:30 PM
📍 Venue: FCS&E Conference Room (NAB)