00484nas a2200145   4500008004100000245005700041210005700098260000900155653000800164653002300172100001500195700001800210700001300228856009700241       2017                        eng d00aBEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD0 aBEHAVIOR THEORY ENABLED GENDER CLASSIFICATION METHOD  c201710aBIS10aBusiness Analytics1 aWang, Jing1 aYan, Xiangbin1 aZhu, Bin  u/biblio/behavior-theory-enabled-gender-classification-method01181nas 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/