Taxonomy grooming algorithm ‐ An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data

Social media being the most eminent source toward the growth of big data is important for information retrieval‐based applications to improve the efficiency in proportional to the volume it must deal with. One way to achieve better performance is to upgrade the processing capacity and the alternativ...

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Bibliographic Details

Published in:	Concurrency and computation Vol. 34; no. 11
Main Authors:	Renjith, Shini, Sreekumar, A., Jathavedan, M.
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 15.05.2022 Wiley Subscription Services, Inc
Subjects:	Algorithms Big Data Clustering Digital media dimensionality reduction Information retrieval Reduction Segmentation social media data Social networks Taxonomy taxonomy grooming
ISSN:	1532-0626, 1532-0634
Online Access:	Get full text
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