%0 Conference Paper %1 Pennacchiotti:2011:DRS:2020408.2020477 %A Pennacchiotti, Marco %A Popescu, Ana-Maria %B Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining %C New York, NY, USA %D 2011 %I ACM %K classification osint smc2013 twitter user %P 430--438 %R 10.1145/2020408.2020477 %T Democrats, republicans and starbucks afficionados: user classification in twitter %U http://doi.acm.org/10.1145/2020408.2020477 %X 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. %@ 978-1-4503-0813-7

@inproceedings{Pennacchiotti:2011:DRS:2020408.2020477, abstract = {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.}, acmid = {2020477}, added-at = {2013-10-17T10:54:53.000+0200}, address = {New York, NY, USA}, author = {Pennacchiotti, Marco and Popescu, Ana-Maria}, biburl = {https://www.bibsonomy.org/bibtex/29f9aa3d4079f2a40f9ba462a6cd12e78/affitz}, booktitle = {Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining}, description = {Democrats, republicans and starbucks afficionados}, doi = {10.1145/2020408.2020477}, interhash = {a1990af4b1129f17e4a697fb5cc0d93f}, intrahash = {9f9aa3d4079f2a40f9ba462a6cd12e78}, isbn = {978-1-4503-0813-7}, keywords = {classification osint smc2013 twitter user}, location = {San Diego, California, USA}, numpages = {9}, pages = {430--438}, publisher = {ACM}, series = {KDD '11}, timestamp = {2013-10-17T10:56:04.000+0200}, title = {Democrats, republicans and starbucks afficionados: user classification in twitter}, url = {http://doi.acm.org/10.1145/2020408.2020477}, year = 2011 }