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Salihu et al., 2019 - Google Patents
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Salihu et al., 2019 - Google Patents

Performance evaluation of manhattan and euclidean distance measures for clustering based automatic text summarization

Salihu et al., 2019

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Document ID
5953582183112158366
Author
Salihu S
Onyekwere I
Mabayoje M
Mojeed H
Publication year
Publication venue
Journal of Engineering and Technology

External Links

Snippet

In the past few years, there has been an explosion in the amount of text data from a variety of sources. This volume of text is a valuable source of information and knowledge which needs to be effectively summarized to be useful. In this paper, automatic text summarization with K …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705—Clustering or classification
    • G06F17/3071—Clustering or classification including class or cluster creation or modification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/30613—Indexing
    • G06F17/30619—Indexing indexing structures
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30716—Browsing or visualization
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    • G06F17/2785—Semantic analysis
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