TY - GEN
T1 - Natural language processing for modeling stable writing characteristics of users
AU - Lee, Namseok
AU - Cho, Kwangsu
PY - 2012
Y1 - 2012
N2 - The aim of this study was to propose a new method to model writing characteristics of users with consistency. This study explored the possibility of modeling the characteristics by analyzing linguistic features of drafts and written comments of the same users in a peer review system. The drafts and comments were collected from 41 undergraduate students who were taking an introductory physics course in the U.S. Natural language processing was used for analyzing drafts and written comments produced by the participants. The results of this study showed that users who wrote drafts by using abstract nouns, different words across sentences, and structurally complex sentences, tended to write comments with abstract nouns, diverse words, and structurally complex sentences. These results implied that users' stable writing characteristics could be modeled based on linguistic features such as ambiguity, lexical diversity, and syntactic complexity.
AB - The aim of this study was to propose a new method to model writing characteristics of users with consistency. This study explored the possibility of modeling the characteristics by analyzing linguistic features of drafts and written comments of the same users in a peer review system. The drafts and comments were collected from 41 undergraduate students who were taking an introductory physics course in the U.S. Natural language processing was used for analyzing drafts and written comments produced by the participants. The results of this study showed that users who wrote drafts by using abstract nouns, different words across sentences, and structurally complex sentences, tended to write comments with abstract nouns, diverse words, and structurally complex sentences. These results implied that users' stable writing characteristics could be modeled based on linguistic features such as ambiguity, lexical diversity, and syntactic complexity.
UR - http://www.scopus.com/inward/record.url?scp=84865980385&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84865980385&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-5083-8_10
DO - 10.1007/978-94-007-5083-8_10
M3 - Conference contribution
AN - SCOPUS:84865980385
SN - 9789400750821
T3 - Lecture Notes in Electrical Engineering
SP - 63
EP - 70
BT - Information Technology Convergence, Secure and Trust Computing, and Data Management, ITCS 2012 and STA 2012
T2 - 4th International Conference on Information Technology Convergence and Services, ITCS 2012 and 9th FTRA International Conference on Secure and Trust Computing, Data Management, and Applications, STA 2012
Y2 - 6 September 2012 through 8 September 2012
ER -