Clustering Document based on Semantic Similarity Using Graph Base Spectral Algorithm-Reference-Cited by-同舟云学术

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Clustering Document based on Semantic Similarity Using Graph Base Spectral Algorithm

Published:2022-05-31 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Engineering Technology and its Applications (IICETA)
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Author:

Ibrahim Rowaida Khalil¹,Zeebaree Subhi R. M.²,Jacksi Karwan¹,Ahmed Sarkar Hasan³,Mohammed Shapol M.⁴,Zebari Rizgar R.⁵,Alkhayyat Ahmed⁶,Rashid Zryan Najat³

Affiliation:

1. University of Zakho,Computer Science Dept.,Duhok,Iraq

2. Duhok Polytechnic University,Energy Engineering Dept.,Duhok,Iraq

3. Sulaimani Polytechnic University,Computer Networks Dept.,Sulaimani,Iraq

4. Tishk International University,Computer Engineering Dept.,Erbil,Iraq

5. Nawroz University,Computer Science Dept.,Duhok,Iraq

6. Islamic University Najaf,Technical Engineering Dept.,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9888261/9888265/09888613.pdf?arnumber=9888613

Reference18 articles.

1. Clustering Document based Semantic Similarity System using TFIDF and K-Mean;ibrahim;2021 Int Conf Adv Comput Appl ACA 2021,2021

2. Semantic Document Clustering Using Information from WordNet and DBPedia

3. A state-of-the-art survey on semantic similarity for document clustering using GloVe and density-based algorithms

4. A Text Clustering System based on k -means Type Subspace Clustering and Ontology;jing;World Acad Sci Eng Technol Int J Comput Inf Eng,2008

5. Semantic Document Clustering Using a Similarity Graph

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