{"id":249053,"date":"2016-07-06T05:25:19","date_gmt":"2016-07-06T12:25:19","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=249053"},"modified":"2018-10-16T20:16:54","modified_gmt":"2018-10-17T03:16:54","slug":"249053","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/249053\/","title":{"rendered":"Predicting Gaming Related Properties from Twitter Profiles"},"content":{"rendered":"<p>We present a system for predicting gaming related\u00a0properties from Twitter profiles. Our system\u00a0predicts various traits of users based on the tweets publicly\u00a0available on their profiles. Such inferred traits include\u00a0degrees of tech-savviness, knowledge on computer\u00a0games, actual gaming performance, preferred platform,\u00a0degree of originality, humor and influence on others. Our\u00a0approach is based on machine learning models trained\u00a0on crowd-sourced data. Our system enables people to\u00a0select Twitter profiles of their fellow gamers, examine\u00a0the trait predictions made by our system, and the\u00a0main drivers of these predictions. We present empirical\u00a0results on the performance of our system based on its\u00a0accuracy on our crowd-sourced dataset. Ultimately, we\u00a0are motivated by the automated discovery of influential\u00a0gamers in social media, and its potential for streamlining\u00a0product campaigns.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a system for predicting gaming related\u00a0properties from Twitter profiles. Our system\u00a0predicts various traits of users based on the tweets publicly\u00a0available on their profiles. Such inferred traits include\u00a0degrees of tech-savviness, knowledge on computer\u00a0games, actual gaming performance, preferred platform,\u00a0degree of originality, humor and influence on others. Our\u00a0approach is based on machine learning models trained\u00a0on crowd-sourced [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"IEEE BigDataService 2016","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"IEEE BigDataService 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