Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
➤ Gửi thông báo lỗi ⚠️ Báo cáo tài liệu vi phạmNội dung chi tiết: Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
An Improved Term Weighting Scheme for Text CategorizationPham Xuan NguyenFaculty of Information Technology University of Engineering and Technology Vi Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 ietnam National University, HanoiSupervised by Dr. Le Quang Hit'llA thesis submitted in fulfillment of the requirements for the degree ofMaster of Science in Computer Science41852ORIGINALITY STATEMENT‘1 hereby declare that this siibniisúoii is my own work, 'lb t he best of my knowledge, it contains Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 no materials previously published by another person, or substantial proportions of material which have bextn accepted for the award of any other degreLuận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
es or diplomas at. University of Engineering anil TLuận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
is lhe task to assign weights to terms (luring the document presentation phase. Thus, it affects the classification performance. In addition to resulAn Improved Term Weighting Scheme for Text CategorizationPham Xuan NguyenFaculty of Information Technology University of Engineering and Technology Vi Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 two categories, namely, supervised and unsupervised [27]. The traditional term weighting schemes such as binary, if and ff.idf |38], belong to unsupervised term weighting methods. Other schemes (for example, tf.\2 [12]) that make use of the prior information about the membership of training documen Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 ts, belong to the supervised term weighting methods.The supervised term weighting method tf.rf [27] is one of the most effective schemes to date. It sLuận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
howed better performance than many others (27). However, tf.rf is not the best in some cases. Moreover, tf.rf requires many rf values for each term.InAn Improved Term Weighting Scheme for Text CategorizationPham Xuan NguyenFaculty of Information Technology University of Engineering and Technology Vi Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 . Furthermore, our scheme is simpler than tf.rf because it only uses the maximum value of if for each term. Our experimental results showed that our scheme is consistently better than {/.if and ot hers.iiTo my family Ọ:::ACKNOWLEDGEMENTSFirst, I would like to express my gratitude to my supervisor, D Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 r. I.e Quang Hieu. He guided Hie throughout the years and gave Hie several useful advices about study method. He was very patient with me. His words iLuận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01
nfluenced strongly on me. I also would like to give my honest appreciation to my colleagues at Hoahi University and University of Engineering and IfecAn Improved Term Weighting Scheme for Text CategorizationPham Xuan NguyenFaculty of Information Technology University of Engineering and Technology Vi Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 ......... 11.2Structure of this Thesis ..................................... 22Overview of Text Categorization42.1Introduction.................................................. 4 Luận văn thạc sĩ an improved term weighting scheme for text categorization m a thesis information technology 60 48 01 An Improved Term Weighting Scheme for Text CategorizationPham Xuan NguyenFaculty of Information Technology University of Engineering and Technology ViGọi ngay
Chat zalo
Facebook