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Sparse Topic Model Research and Application ——Based on Word Sparsity and Background Topic Two Dimensions

吕祎娜

中央财经大学

Abstract: With the rapid advancement of science and technology,the amount of text data accumulated in the Internet is growing rapidly by an order of magnitude.Text data is massive,sparse and noisy.Therefore,how to accurately and efficiently extract applicationworthy information from the unstructured mass of text data has been a hot topic in the academic and commercial sectors.In recent years,the traditional LDA model have been rapidly developed and widely used,and have evolved into one of the most importa... More
  • Series:

    (I) Electronic Technology & Information Science

  • Subject:

    Computer Software and Application of Computer

  • DOI:

    10.27665/d.cnki.gzcju.2023.000413

  • Classification Code:

    TP391.1

Tutor:

刘苗;

Retraction:

应用统计(专业学位)

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