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

Volume

1

fYear

2011

fDate

11-13 March 2011

Firstpage

31

Lastpage

34

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Research and Development (ICCRD), 2011 3rd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-839-6

Type

conf

DOI

10.1109/ICCRD.2011.5763967

Filename

5763967