A Hybrid Query-Based Extractive Text Summarization Based on K-Means and Latent Dirichlet Allocation Techniques

Retrieving information from evolving digital data collection using a user’s query is always essential and needs efficient retrieval mechanisms that help reduce the required time from such massive collections. Large-scale time consumption is certain to scan and analyze to retrieve the most relevant t...

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Bibliographic Details
Published in:	Journal on artificial intelligence Vol. 6; no. 1; pp. 193 - 209
Main Authors:	Muhammad, Sohail, Khan, Muzammil, Khan, Sarwar Shah
Format:	Journal Article
Language:	English
Published:	Henderson Tech Science Press 2024
Subjects:	Algorithms Artificial intelligence Cluster analysis Clustering Computer science Data collection Data mining Digital data Documents Information retrieval Language Machine learning Natural language processing Queries Relevance Semantics Support vector machines Unsupervised learning Vector quantization
ISSN:	2579-003X, 2579-0021, 2579-003X
Online Access:	Get full text
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