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Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings

Research Article

An Application of Non Negative Matrix Factorization in Text Mining

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-47359-3_21,
        author={Nguyen Bao Tran and Thanh Son Huynh and Ba Lam To and Luong Anh Tuan Nguyen},
        title={An Application of Non Negative Matrix Factorization in Text Mining},
        proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings},
        proceedings_a={INISCOM},
        year={2023},
        month={10},
        keywords={NMF text mining topic classification bags-of-words},
        doi={10.1007/978-3-031-47359-3_21}
    }
    
  • Nguyen Bao Tran
    Thanh Son Huynh
    Ba Lam To
    Luong Anh Tuan Nguyen
    Year: 2023
    An Application of Non Negative Matrix Factorization in Text Mining
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-47359-3_21
Nguyen Bao Tran1,*, Thanh Son Huynh1, Ba Lam To1, Luong Anh Tuan Nguyen1
  • 1: Information Technology Department, Vietnam Aviation Academy
*Contact email: baotn@vaa.edu.vn

Abstract

The field of text mining has increasingly relied on Non-negative matrix factorization (NMF) for its ability to perform high-dimensional data reduction and visualization. This paper aims to employ NMF in analyzing a dataset of 1,500 documents and 12,419 words in bags-of-words format, obtained from the UCI Machine Learning Repository. Our analysis demonstrates the utility of NMF in effectively classifying ambiguous and sparse textual data into distinct topics and extracting meaningful contents through the identification of relevant keywords. Further, we demonstrate the robustness of NMF in topic clustering by exploring the semantic relationship between extracted keywords and the topics to which they belonged. Our findings offered valuable insights into the application of NMF in text mining and suggested that universities in Vietnam could leverage this technique to analyze feedback and suggestions from students.

Keywords
NMF text mining topic classification bags-of-words
Published
2023-10-31
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-47359-3_21
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