Keyword extraction for very high dimensional datasets using random projection as key input representation scheme

• المؤلف الرئيسي: Dy, Jeric Bryle S.
• التنسيق: text
• اللغة: English
• منشور في: Animo Repository 2011
• الموضوعات: Text processing (Computer science); Dimension reduction (Statistics); Document clustering; Computer Sciences
• الوصول للمادة أونلاين: https://animorepository.dlsu.edu.ph/etd_masteral/6649; https://animorepository.dlsu.edu.ph/context/etd_masteral/article/12928/viewcontent/CDTG004899_P.pdf
• المؤسسة: De La Salle University

Keywords are increasingly useful as users are faced with the challenge of keeping up with voluminous information that they need to process every day. The most straightforward way for extracting keywords is to compute for the term frequencies for each document. But when dealing with corpora containin...