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Filtering by: Committee Member Youssef, Abdou Author Al-Dhelaan, Mohammed GW Unit Computer Science Type of Work Thesis or Dissertation

Description:: The sheer volume of text in the web mandates automated approaches for identifying keyphrases that distinguish documents and help recognize important topics within documents. Automatic extraction of keyphrases is accomplished by designing algorithms capable of quantifying saliency in text....
Author:: Al-Dhelaan, Mohammed
Keyword:: Social Text Ranking, Hypergraphs, Text Ranking, Graph Ranking, Keyphrase Extraction, and Random Walks
GW Unit:: Computer Science
Degree:: Ph.D.
Advisor:: Bellaachia, Abdelghani
Committee Member(s):: Kim, Dongkyu, Zhang, Nan, and Youssef, Abdou
Resource Type:: Thesis or Dissertation

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