Urdu Documents Clustering with Unsupervised and Semi-Supervised Probabilistic Topic Modeling
Document clustering is to group documents according to certain semantic features. Topic model has a richer semantic structure and considerable potential for helping users to know document corpora. Unfortunately, this potential is stymied on text documents which have overlapping nature, due to their...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
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Series: | Information |
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Online Access: | https://www.mdpi.com/2078-2489/11/11/518 |