Unsupervised Persian Keyword Extraction Using Exemplar Terms, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor) ; Ghasem Sani, Gholam Reza (Co-Advisor)
Abstract
Keywords or keyphrases are of importance as the smallest unit of representing the meaning of a text. Automated Keyword Extraction (AKE), as one of the natural language processing tasks is used in various applications such as searching, indexing and information retrieval. Keywords of scientific articles are basically specified manually by their authors, whereas most of the information available on the internet lack such keywords. In this research, we endeavor to automatically extract keywords of a set of Persian paper abstracts using an unsupervised machine learning method. The method used is to extract a set of candidate phrases from the text, and to cluster the document words to find a set...
Cataloging briefUnsupervised Persian Keyword Extraction Using Exemplar Terms, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor) ; Ghasem Sani, Gholam Reza (Co-Advisor)
Abstract
Keywords or keyphrases are of importance as the smallest unit of representing the meaning of a text. Automated Keyword Extraction (AKE), as one of the natural language processing tasks is used in various applications such as searching, indexing and information retrieval. Keywords of scientific articles are basically specified manually by their authors, whereas most of the information available on the internet lack such keywords. In this research, we endeavor to automatically extract keywords of a set of Persian paper abstracts using an unsupervised machine learning method. The method used is to extract a set of candidate phrases from the text, and to cluster the document words to find a set...
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