Social media mining

Results: 108



#Item
51Weakly Supervised User Profile Extraction from Twitter Jiwei Li1 , Alan Ritter2 , Eduard Hovy1 1 Language  Technology Institute, 2 Machine Learning Department

Weakly Supervised User Profile Extraction from Twitter Jiwei Li1 , Alan Ritter2 , Eduard Hovy1 1 Language Technology Institute, 2 Machine Learning Department

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Source URL: aritter.github.io

Language: English - Date: 2015-04-14 22:10:51
52Media release  30 April 2013 Tackling poverty should still be a budget priority Australia spends more on subsidies to the booming mining industry than it would cost to

Media release 30 April 2013 Tackling poverty should still be a budget priority Australia spends more on subsidies to the booming mining industry than it would cost to

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Source URL: www.unitingcare.org.au

Language: English - Date: 2014-01-13 22:07:44
53Machine Translation for Cross-Language Social Media Jordi Carrera, Olga Beregovaya, Alex Yanishevsky PROMT Americas Inc. 330 Townsend St, Suite 204, San Francisco, CA 94107 {jordi.carrera, olga.beregovaya, alexy}@promt.c

Machine Translation for Cross-Language Social Media Jordi Carrera, Olga Beregovaya, Alex Yanishevsky PROMT Americas Inc. 330 Townsend St, Suite 204, San Francisco, CA 94107 {jordi.carrera, olga.beregovaya, alexy}@promt.c

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Source URL: www.promt.com

Language: English - Date: 2009-09-10 16:00:00
54Mining Expertise and Interests from Social Media Ido Guy, Uri Avraham, David Carmel, Sigalit Ur, Michal Jacovi, Inbal Ronen IBM Research Lab Haifa, Israel  {ido, uria, carmel, sigalit, jacovi, inbal}@il.ibm.com

Mining Expertise and Interests from Social Media Ido Guy, Uri Avraham, David Carmel, Sigalit Ur, Michal Jacovi, Inbal Ronen IBM Research Lab Haifa, Israel {ido, uria, carmel, sigalit, jacovi, inbal}@il.ibm.com

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Source URL: www.research.ibm.com

Language: English - Date: 2013-03-13 08:58:31
55Towards a framework for automatic geographic feature extraction from Twitter Enrico Steiger, Johannes Lauer, Timothy Ellersiek, Alexander Zipf GIScience Research Group, Institute of Geography, University of Heidelberg, B

Towards a framework for automatic geographic feature extraction from Twitter Enrico Steiger, Johannes Lauer, Timothy Ellersiek, Alexander Zipf GIScience Research Group, Institute of Geography, University of Heidelberg, B

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Source URL: koenigstuhl.geog.uni-heidelberg.de

Language: English - Date: 2014-07-15 08:25:51
56CrossMark_Color_Stacked_p

CrossMark_Color_Stacked_p

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Source URL: geography.as.uky.edu

Language: English - Date: 2014-04-24 12:20:12
57The Proceedings of the 12th Annual International Conference on Digital Government Research  Opinion Mining in Social Media: Modeling, Simulating, and Visualizing Political Opinion Formation in the Web Michael Kaschesky

The Proceedings of the 12th Annual International Conference on Digital Government Research Opinion Mining in Social Media: Modeling, Simulating, and Visualizing Political Opinion Formation in the Web Michael Kaschesky

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Source URL: www.wirtschaft.bfh.ch

Language: English - Date: 2012-06-15 04:05:25
58Extracting Personal Behavioral Patterns from Geo-Referenced Tweets Georg Fuchs Gennady Andrienko  Natalia Andrienko

Extracting Personal Behavioral Patterns from Geo-Referenced Tweets Georg Fuchs Gennady Andrienko Natalia Andrienko

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Source URL: www.agile-online.org

Language: English - Date: 2013-05-06 15:36:24
59International Conference on Location-based Social Media Data March 13-14, 2015 Athens, Georgia, USA http://research.franklin.uga.edu/iclsm In the era of big data, increasingly sizeable datasets come from social media, pa

International Conference on Location-based Social Media Data March 13-14, 2015 Athens, Georgia, USA http://research.franklin.uga.edu/iclsm In the era of big data, increasingly sizeable datasets come from social media, pa

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Source URL: research.franklin.uga.edu

Language: English - Date: 2014-12-19 22:16:20
60Situation-awareness in social overlays Hariton Efstathiades Research Focus  Situation-aware overlay: Each individual is connected with the source of information, according to the

Situation-awareness in social overlays Hariton Efstathiades Research Focus  Situation-aware overlay: Each individual is connected with the source of information, according to the

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Source URL: linc.ucy.ac.cy

Language: English - Date: 2014-06-12 03:26:11