@inproceedings{finin2010annotating, abstract = {We describe our experience using both Amazon Mechanical Turk (MTurk) and Crowd-Flower to collect simple named entity annotations for Twitter status updates. Unlike most genres that have traditionally been the focus of named entity experiments, Twitter is far more informal and abbreviated. The collected annotations and annotation techniques will provide a first step towards the full study of named entity recognition in domains like Facebook and Twitter. We also briefly describe how to use MTurk to collect judgements on the quality of "word clouds."}, acmid = {1866709}, address = {Stroudsburg, PA, USA}, author = {Finin, Tim and Murnane, Will and Karandikar, Anand and Keller, Nicholas and Martineau, Justin and Dredze, Mark}, booktitle = {Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk}, interhash = {0fa9636e69f2f516cdb6e11fffd8079b}, intrahash = {f3ce5c15752dab9487220a3aae963655}, location = {Los Angeles, California}, numpages = {9}, pages = {80--88}, publisher = {Association for Computational Linguistics}, title = {Annotating named entities in Twitter data with crowdsourcing}, url = {http://dl.acm.org/citation.cfm?id=1866696.1866709}, year = 2010 } @inproceedings{Detecting_Commmunities_via_Simultaneous_Clustering_of_Graphs_and_Folksonomies, author = {Java, Akshay and Joshi, Anupam and Finin, Tim}, booktitle = {WebKDD 2008 Workshop on Web Mining and Web Usage Analysis}, interhash = {acfec953843b168e61e2e167e29b4c3d}, intrahash = {645abd6b3191a2a6e844d7542651ed1c}, month = {August}, note = {To Appear}, title = {Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}, year = 2008 } @inproceedings{Java2008, abstract = {We present a simple technique for detecting communities by utilizing both the link structure and folksonomy (or tag) information that is readily available in most social media systems. A simple way to describe our approach is by defining a community as a set of nodes in a graph that link more frequently to within this set than outside it and they share similar tags. Our technique is based on the Normalized Cut (NCut) algorithm and can be easily and efficiently implemented. We validate our method by using a real network of blogs and tag information obtained from a social bookmarking site. We also verify our results on a citation network for which we have access to ground truth cluster information. Our method, Simultaneous Cut (SimCut), has the advantage that it can group related tags and cluster the nodes simultaneously.}, author = {Java, Akshay and Joshi, Anupam and Finin, Tim}, booktitle = {Proceedings of the Tenth Workshop on Web Mining and Web Usage Analysis (WebKDD)}, interhash = {acfec953843b168e61e2e167e29b4c3d}, intrahash = {80e4f692625afcf21e8195915ea93de0}, month = {August}, note = {Held in conjunction with The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008)}, publisher = {ACM}, title = {Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}, url = {http://ebiquity.umbc.edu/paper/html/id/406/Detecting-Commmunities-via-Simultaneous-Clustering-of-Graphs-and-Folksonomies}, year = 2008 } @inproceedings{Detecting_Commmunities_via_Simultaneous_Clustering_of_Graphs_and_Folksonomies, author = {Java, Akshay and Joshi, Anupam and Finin, Tim}, booktitle = {WebKDD 2008 Workshop on Web Mining and Web Usage Analysis}, interhash = {acfec953843b168e61e2e167e29b4c3d}, intrahash = {645abd6b3191a2a6e844d7542651ed1c}, month = {August}, note = {To Appear}, title = {Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}, year = 2008 } @inproceedings{Detecting_Commmunities_via_Simultaneous_Clustering_of_Graphs_and_Folksonomies, author = {Java, Akshay and Joshi, Anupam and Finin, Tim}, booktitle = {WebKDD 2008 Workshop on Web Mining and Web Usage Analysis}, interhash = {acfec953843b168e61e2e167e29b4c3d}, intrahash = {645abd6b3191a2a6e844d7542651ed1c}, month = {August}, note = {To Appear}, title = {{Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}}, year = 2008 } @inproceedings{kolari2007blogs, author = {Kolari, Pranam and Finin, Tim and Yesha, Yelena and Yesha, Yaacov and Lyons, Kelly and Perelgut, Stephen and Hawkins, Jen}, booktitle = {Proceedings of the International Conference on Weblogs and Social Media (ICWSM 2007)}, interhash = {68f2ca738eb33fdae0339001db478c45}, intrahash = {c6bef9ae4c1f3d8e7f28cb98721e4da1}, month = {March}, note = {Nominated for Best Paper Award}, title = {{On the Structure, Properties and Utility of Internal Corporate Blogs}}, url = {http://ebiquity.umbc.edu/get/a/publication/341.pdf}, year = 2007 }