{"id":184750,"date":"2010-04-05T00:00:00","date_gmt":"2010-04-11T18:55:45","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/understanding-user-generated-content-on-social-media\/"},"modified":"2016-08-22T11:27:37","modified_gmt":"2016-08-22T18:27:37","slug":"understanding-user-generated-content-on-social-media","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/understanding-user-generated-content-on-social-media\/","title":{"rendered":"Understanding User-generated Content on Social Media"},"content":{"rendered":"<div class=\"asset-content\">\n<p>In this talk I will cover some of my dissertation research that is devoted to the study of textual user-generated content on social media platforms. My work investigates the role of contextual information in discovering various types of semantic and experiential metadata from informal user-generated content toward the end goals of adding structure to unstructured utterances.<\/p>\n<p>I will present my investigations along three aspects of understanding user-generated content:<\/p>\n<ol>\n<li>Named entity recognition in informal text, with a focus on identifying cultural entities that allows us to trend and track their online mentions.<\/li>\n<li>Understanding user intentions behind expressed content, with a focus on identifying transactional and information seeking intents that are typically exploited by question answering and targeted content-delivery systems.<\/li>\n<li>Studying how users self-present on social media by observing the words they employ.<\/li>\n<\/ol>\n<p>An understanding of such micro-level variables of content allows us to comprehend something new about the data and dynamics of social media. In this talk, I will also present my work on two deployed social Web applications that tap into crowd-sourced intelligence.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this talk I will cover some of my dissertation research that is devoted to the study of textual user-generated content on social media platforms. My work investigates the role of contextual information in discovering various types of semantic and experiential metadata from informal user-generated content toward the end goals of adding structure to unstructured [&hellip;]<\/p>\n","protected":false},"featured_media":195576,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-184750","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/8qMH5n1qXzc","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/184750","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/184750\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/195576"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=184750"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=184750"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=184750"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=184750"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=184750"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=184750"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=184750"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=184750"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=184750"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=184750"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}