01181nas a2200157   4500008004100000245008100041210006900122260000900191520069300200653000800893653002300901100001300924700001800937700001500955856005300970       2013                        eng d00aGender Classification for Product Reviewers in China: A Data-Driven Approach0 aGender Classification for Product Reviewers in China A DataDrive  c20133 aWhile it is crucial for organizations to automatically identify the gender of participants in product discussion forums, they may have difficulties adopting existing gender classification methods because the associations between the linguistic features used in those studies and gender type usually varies with context. The prototype system we propose to demo validates a framework for the development of gender classification that uses a more “data-driven” approach. It constantly extracts content-specific features from the discussion content. And the system could automatically adjust itself to accommodate the contextual changes in order to achieve better classification accuracy.10aBIS10aBusiness Analytics1 aZhu, Bin1 aYan, Xiangbin1 aWang, Jing  uhttp://www.som.buffalo.edu/isinterface/wits2013/