%0 Conference Paper %1 conf/websci/QuerciaAC12 %A Quercia, Daniele %A Askham, Harry %A Crowcroft, Jon %B WebSci %D 2012 %E Contractor, Noshir S. %E Uzzi, Brian %E Macy, Michael W. %E Nejdl, Wolfgang %I ACM %K classification genreTM lda models supervised topic %P 247-250 %T TweetLDA: supervised topic classification and link prediction in Twitter. %U http://dblp.uni-trier.de/db/conf/websci/websci2012.html#QuerciaAC12 %@ 978-1-4503-1228-8

@inproceedings{conf/websci/QuerciaAC12, added-at = {2015-05-01T13:03:12.000+0200}, author = {Quercia, Daniele and Askham, Harry and Crowcroft, Jon}, biburl = {https://www.bibsonomy.org/bibtex/28dcafc69aa21965e135f2a2a13473955/schwemmlein}, booktitle = {WebSci}, crossref = {conf/websci/2012}, editor = {Contractor, Noshir S. and Uzzi, Brian and Macy, Michael W. and Nejdl, Wolfgang}, ee = {http://doi.acm.org/10.1145/2380718.2380750}, interhash = {b818d5955d01dd1bea2632b3c92fa99e}, intrahash = {8dcafc69aa21965e135f2a2a13473955}, isbn = {978-1-4503-1228-8}, keywords = {classification genreTM lda models supervised topic}, pages = {247-250}, publisher = {ACM}, timestamp = {2015-05-01T13:03:12.000+0200}, title = {TweetLDA: supervised topic classification and link prediction in Twitter.}, url = {http://dblp.uni-trier.de/db/conf/websci/websci2012.html#QuerciaAC12}, year = 2012 }