Machine Learning For Text - Charu C. Aggarwal

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Machine Learning For Text - Charu C. Aggarwal

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Machine Learning For Text - Charu C. Aggarwal

Text Analytics Is A Field That Lies On The Interface Of Information Retrieval,machine Learning, And Natural Language Processing, And This Textbooknbsp;carefully Covers A Coherently Organized Framework Drawn From These Intersectingnbsp;topics. The Chapters Of This Textbook Is Organized Into Three Categories: - Basic Algorithms: Chapters 1 Through 7 Discuss The Classical Algorithmsnbsp;for Machine Learning From Text Such As Preprocessing, Similaritynbsp;computation, Topic Modeling, Matrix Factorization, Clustering, Classification, Regression, And Ensemble Analysis. - Domain-sensitive Mining: Chapters 8 And 9 Discuss The Learning Methodsnbsp;from Text When Combined With Different Domains Such As Multimedia Andnbsp;the Web.
  • 品牌: Unbranded
  • 类别: 计算机与互联网
  • 语言: English
  • 作者: Charu C. Aggarwal
  • 出版日期: 2018-04-03
  • 页数: 520
  • 出版社/标签: Springer Nature B.V
  • 格式: Hardcover
  • Fruugo ID: 469774511-983729431
  • ISBN: 9783319735306
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