Mining Cross-Lingual/Cross-Cultural Differences in Concerns and Opinions in Blogs

Authors:
Hiroyuki Nakasaki;Mariko Kawaba;Takehito Utsuro;Tomohiro Fukuhara
Affiliations:
Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan 305-8573;Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan 305-8573;Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan 305-8573;Research into Artifacts, Center for Engineering, University of Tokyo, Kashiwa, Japan 277-8568
Venue:
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Year:
2009

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Abstract

The goal of this paper is to cross-lingually analyze multilingual blogs collected with a topic keyword. The framework of collecting multilingual blogs with a topic keyword is designed as the blog feed retrieval procedure. Mulitlingual queries for retrieving blog feeds are created from Wikipedia entries. Finally, we cross-lingually and cross-culturally compare less well known facts and opinions that are closely related to a given topic. Preliminary evaluation results support the effectiveness of the proposed framework.