5 citations · 23 across the 22 of their papers we have counts for
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cs.CL2020★ 5 cited
A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
Faiza Memood, Muhammad Usman Ghani, Muhammad Ali Ibrahim +2
In order to accelerate the performance of various Natural Language Processing tasks for Roman Urdu, this paper for the very first time provides 3 neural word embeddings prepared us…
cs.CL2020★ 3 cited
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification
Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim +3
In order to provide benchmark performance for Urdu text document classification, the contribution of this paper is manifold. First, it pro-vides a publicly available benchmark data…