Open AccessCo‐word analysis using the Chinese character set
Author(s) -
Leydesdorff Loet,
Zhou Ping
Publication year - 2008
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.20862
Subject(s) - computer science , readability , word (group theory) , natural language processing , character (mathematics) , chinese characters , artificial intelligence , set (abstract data type) , linguistics , meaning (existential) , information retrieval , mathematics , psychology , philosophy , geometry , psychotherapist , programming language
Until recently, Chinese texts could not be studied using co‐word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information but also meaning. This may enhance the readability of semantic maps. In this study, we analyze 58 words which occur 10 or more times in the 1,652 journal titles of the China Scientific and Technical Papers and Citations Database . The word‐occurrence matrix is visualized and factor‐analyzed.