Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model

Arfan Ali Nagraa Department of Computer Science, Garrison University, Lahore, PakistanCorrespondence[email protected]

Khalid Alissab Networks and Communications Department, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Taher M. Ghazalc Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, Malaysia;d School of Information Technology, Skyline University College, University City Sharjah, Sharjah, UAE

Saigeeta Kukunurue Faculty of Management, Swiss Business School, Ras Al Khaima, UAE

Muhammad Mugees Asifa Department of Computer Science, Garrison University, Lahore, Pakistan

Muhammad Fawadf Riphah School of Computing and Innovation, Faculty of Computing, Riphah International University, Lahore, Pakistan

Citations (5)

Keep up to date with the latest research on this topic with citation updates for this article.

Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model

Articles from other publishers (5)

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Deep Sentiments Analysis for Roman Urdu Dataset Using Faster Recurrent Convolutional Neural Network Model

Citations (5)

Articles from other publishers (5)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date