Pattern Based Comprehensive Urdu Stemmer and Short Text Classification

Pattern Based Comprehensive Urdu Stemmer and Short Text Classification

Urdu language is used by approximately 200 million people for spoken and written communications. The bulk of unstructured Urdu textual data is available in the world. We can employ data mining techniques to extract useful information from such a large, potentially informative base data. There are ma...

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Bibliographic Details
Main Authors: Mubashir Ali, Shehzad Khalid, Muhammad Haseeb Aslam
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Infix classes
infix rules
stemming rules
stemming lists
Urdu stemmer
short text classification
Online Access:https://ieeexplore.ieee.org/document/8241374/

Internet

https://ieeexplore.ieee.org/document/8241374/

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