jagomart
digital resources
picture1_Airs'14


 179x       Filetype PPT       File size 0.89 MB       Source: www.mysmu.edu


File: Airs'14
social media and personal data much personal information revealed in social media content links ratings personal preferences all this information is useful to researchers social science businesses targeted advertising dec ...

icon picture PPT Filetype Power Point PPT | Posted on 09 Sep 2022 | 3 years ago
Partial capture of text on file.
      Social Media and Personal Data
     • Much personal information 
        revealed in social media
         –Content, links, ratings  
           personal preferences
     • All this information is useful 
        to
         –Researchers: social science
         –Businesses: targeted 
           advertising
      Dec 5, 2014                     AIRS 2014                             2
           User Biographies in Twitter
     • Self-introductions written in free form
     • Reflect users’ background and interests
      Dec 5, 2014                     AIRS 2014                             3
              User Biographies in Twitter
                  age             profession                interests
      Around 28% of Singapore Twitter users and 50% of US 
      Twitter users
      revealed their personal interests in their biographies.
                               Dong Wei et. al. Who am I on Twitter?: A cross-country comparison.
                               WWW’2014
       Dec 5, 2014                             AIRS 2014                                      4
                                 Outline
     • Background
     • Our task
     • Syntactic patterns of interest tags
     • Build training data + gold standard
     • Method
     • Experiments
     • Summary
      Dec 5, 2014                     AIRS 2014                             5
                                Our task
     • Automatically extract phrases that 
        describe a user’s personal interests.
         –We call them “interest tags”
         –A typical information extraction problem.
         –Automatically build training data based on 
            common syntactic patterns.
      Dec 5, 2014                     AIRS 2014                             6
The words contained in this file might help you see if this file matches what you are looking for:

...Social media and personal data much information revealed in content links ratings preferences all this is useful to researchers science businesses targeted advertising dec airs user biographies twitter self introductions written free form reflect users background interests age profession around of singapore us their dong wei et al who am i on a cross country comparison www outline our task syntactic patterns interest tags build training gold standard method experiments summary automatically extract phrases that describe s we call them typical extraction problem based common...

no reviews yet
Please Login to review.