[ACM Press the 17th ACM SIGKDD international conference - San Diego, California, USA (2011.08.21-2011.08.24)] Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11 - Democrats, republicans and starbucks afficionados

✍ Scribed by Pennacchiotti, Marco; Popescu, Ana-Maria

• Book ID: 121283112
• Publisher: ACM Press
• Year: 2011
• Tongue: English
• Weight: 640 KB
• Category: Article
• ISBN: 1450308139
• DOI: 10.1145/2020408.2020477

✦ Synopsis

More and more technologies are taking advantage of the explosion of social media (Web search, content recommendation services, marketing, ad targeting, etc.). This paper focuses on the problem of automatically constructing user profiles, which can significantly benefit such technologies. We describe a general and robust machine learning framework for large-scale classification of social media users according to dimensions of interest. We report encouraging experimental results on 3 tasks with different characteristics: political affiliation detection, ethnicity identification and detecting affinity for a particular business.