Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised. However, despite several existing conventional techniques, they have had limited success when applied directly for filtering and quic...
Main Authors: | Zoya, Seemab Latif, Faisal Shafait, Rabia Latif |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9536731/ |
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