A model for evaluating the quality of user-created documents

作者: Young-In Song , Linh Hoang , Jung-Tae Lee , Hae-Chang Rim

DOI: 10.5555/1786374.1786443

关键词:

摘要: In this paper, we propose a model for evaluating the quality of general user-created documents. The is based on supervised classification approach, in which output scores are considered as given document. order to utilize both textual and nontextual attributes documents, incorporated number objectively measurable, real-valued features selected upon predefined criteria quality. Experiments two datasets real world documents show that stable indicators documents' Some inferred be effective kinds

参考文章(7)
So-Yeon Park, Joon-Ho Lee, Ji-Woon Jeon, Evaluation of the documents from the Web-based Question and Answer Service Journal of the Korean Society for Library and Information Science. ,vol. 40, pp. 299- 314 ,(2006) , 10.4275/KSLIS.2006.40.2.299
Yunbo Cao, Ming Zhou, Yalou Huang, Jingjing Liu, Chin-Yew Lin, Low-Quality Product Review Detection in Opinion Summarization empirical methods in natural language processing. pp. 334- 342 ,(2007)
Nitin Jindal, Bing Liu, Identifying comparative sentences in text documents Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06. pp. 244- 251 ,(2006) , 10.1145/1148170.1148215
Soo-Min Kim, Patrick Pantel, Tim Chklovski, Marco Pennacchiotti, Automatically Assessing Review Helpfulness empirical methods in natural language processing. pp. 423- 430 ,(2006) , 10.3115/1610075.1610135
Ellen Riloff, Janyce Wiebe, Learning extraction patterns for subjective expressions Proceedings of the 2003 conference on Empirical methods in natural language processing -. pp. 105- 112 ,(2003) , 10.3115/1119355.1119369
Robert Malouf, A comparison of algorithms for maximum entropy parameter estimation international conference on computational linguistics. pp. 1- 7 ,(2002) , 10.3115/1118853.1118871
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon Park, A framework to predict the quality of answers with non-textual features Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '06. pp. 228- 235 ,(2006) , 10.1145/1148170.1148212