Title :
Studies of Comprehensive Auto-Indexing System Based on Key Words´ Subject Degree
Author_Institution :
Coll. of Chinese Language & Culture, Jinan Univ., Guangzhou, China
Abstract :
Key words are expressions that indicate and express the subject concept of a text, the major property of key words is to denote subject. Based on the domainal inhomogeneity and critical region of key words, subject degree is brought up and calculated by statistical model to cue textpsila subject concept. Based on key words and itspsila subject degree, constructed a comprehensive auto-indexing system, which includes text categorization, key words indexing and text summarization.
Keywords :
indexing; statistical analysis; text analysis; auto-indexing system; key word subject degree; key words indexing; statistical model; text categorization; text summarization; Computational modeling; Educational institutions; Frequency; Information technology; Libraries; Machine assisted indexing; Natural languages; Text categorization; Visualization; Vocabulary; Key Words Indexing; Subject Degree; Text Categorization; Text Summarization;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.459
