Title :
Machine learning based blog classification personal vs. official facet
Author :
Sun, Xueji ; Li, Si ; Xu, Weiran ; Chen, Guang ; Guo, Jun
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Since the blog service brings a wealth of information resources, blog search and classification are showing their great research value. This paper focuses on the blog classification on the personal vs. official facet. Our system adopts a two-stage strategy; in training model, lexicons are built automatically; in classification model, scoring and ranking are carried out orderly. Our experimental results reveal that feature selection, Mutual Information weighting are good for lexicons with significant results. However, sentiment words can only slightly improve the results.
Keywords :
Web services; Web sites; feature extraction; learning (artificial intelligence); pattern classification; blog classification; blog search; blog service; classification model; feature selection; information resource; machine learning; mutual information weighting; sentiment word; training model; Blogs; Buildings; Machine learning; Measurement; Mutual information; Testing; Training; Blog Classification; Feature selection; Lexicons; Machine Learning; Sentiment;
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
DOI :
10.1109/ICCRD.2011.5763967
