Short Text Clustering Algorithms, Application and Challenges: A Survey

Short Text Clustering Algorithms, Application and Challenges: A Survey

The number of online documents has rapidly grown, and with the expansion of the Web, document analysis, or text analysis, has become an essential task for preparing, storing, visualizing and mining documents. The texts generated daily on social media platforms such as Twitter, Instagram and Facebook...

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Bibliographic Details
Main Authors: Majid Hameed Ahmed, Sabrina Tiun, Nazlia Omar, Nor Samsiah Sani
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Applied Sciences
Subjects:
short text
text representation
dimensionality reduction
clustering techniques
short text clustering
Online Access:https://www.mdpi.com/2076-3417/13/1/342

Internet

https://www.mdpi.com/2076-3417/13/1/342

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