Detecting hate speech in Roman Urdu using convolutional BiLSTM based deep hybrid neural network [MS Data Sciences] / by Muhammad Zohaib

By:

Zoahib, Muhammad

Material type: Text

TextPublication details: Lahore : UMT. Dr. Hassan Murad School of Management. Department of Data Science. 2023Description: 58 p. CDSubject(s):

DDC classification:

TP 005.7491439 ZOH-D

Dissertation note: Report presented in partial requirement for MS degree in Data Sciences Adviser : Dr. Fazeel Abid MS University of Management and Technology 2023 F2020313008

Item type:

Theses and Term Papers

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UMT Main Campus	TP 005.7491439 ZOH-D (Browse shelf(Opens below))	Not for loan		144745

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Previous	TP 005.7491439 HAM-L Learn and play (Urdu app) [MSC program] [+CD]	TP 005.7491439 HAS-U Urdu intrinsic plagiarism detection using stylometry based features [MS Software Engineering] /	TP 005.7491439 JAV-P Phonetic matching of Roman Urdu names using a novel weighted edit distance techniques [MS Software Engineering] /	TP 005.7491439 ZOH-D Detecting hate speech in Roman Urdu using convolutional BiLSTM based deep hybrid neural network [MS Data Sciences] /	TP 005.749296 SHA-A Automated license number plate recognition system[+CD]	TP 005.75 ABI-I Interconnected node application[MCS programme]	TP 005.75 AMA-F File anywhere system [MCS programme]	Next

Report presented in partial requirement for MS degree in Data Sciences
Adviser : Dr. Fazeel Abid MS University of Management and Technology 2023 F2020313008

Dr. Hassan Murad School of Management

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Detecting hate speech in Roman Urdu using convolutional BiLSTM based deep hybrid neural network [MS Data Sciences] / by Muhammad Zohaib

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