Transport Policy: Social Media and User-Generated Content in a Changing Information Paradigm
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Tsvi Kuflik | Susan Grant-Muller | Ayelet Gal-Tzur | Einat Minkov | S. Nocera | I. Shoor | T. Kuflik | Einat Minkov | S. Grant-Muller | S. Nocera | A. Gal-Tzur | I. Shoor | Itay Shoor | Silvio Nocera
[1] Káthia Marçal de Oliveira,et al. A public transportation ontology to support user travel planning , 2010, 2010 Fourth International Conference on Research Challenges in Information Science (RCIS).
[2] Tao Wang,et al. The Fusion Model of Intelligent Transportation Systems Based on the Urban Traffic Ontology , 2012 .
[3] Jakub Piskorski,et al. Information Extraction: Past, Present and Future , 2013, Multi-source, Multilingual Information Extraction and Summarization.
[4] M. Castells. Power of Identity: The Information Age: Economy, Society, and Culture , 1997 .
[5] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.
[6] Rob Hranac,et al. Twitter Interactions as a Data Source for Transportation Incidents , 2013 .
[7] Manuel Castells,et al. The Power Of Identity: The Information Age: Economy, , 2012 .
[8] Brendan T. O'Connor,et al. A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.
[9] Abolghasem Sadeghi-Niaraki,et al. Ontology based personalized route planning system using a multi-criteria decision making approach , 2009, Expert Syst. Appl..
[10] Gabriella Mazzulla,et al. Spatial association techniques for analysing trip distribution in an urban area , 2012 .
[11] Tsvi Kuflik,et al. The potential of social media in delivering transport policy goals , 2014 .
[12] Nirajan Shiwakoti,et al. Social media use in unplanned passenger rail disruptions - an international study , 2014 .
[13] Wei Guo Wu,et al. Ontology Model for Situation Awareness of City Tunnel Traffic , 2013 .
[14] Silvio Nocera,et al. Policy Effectiveness for Containing CO2 Emissions in Transportation , 2011 .
[15] Dimitrios Efthymiou,et al. Use of Social Media for Transport Data Collection , 2012 .
[16] Glenn Lyons,et al. The value of integrated multimodal traveller information and its potential contribution to modal change , 2003 .
[17] Armin R. Mikler,et al. Text and Structural Data Mining of Influenza Mentions in Web and Social Media , 2010, International journal of environmental research and public health.
[18] Janyce Wiebe,et al. Articles: Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis , 2009, CL.
[19] Stephen F. Smith,et al. An Ontology for Multi-Modal Transportation Planning and Scheduling , 1999 .
[20] Shaowen Wang,et al. Mapping the global Twitter heartbeat: The geography of Twitter , 2013, First Monday.
[21] Changjun Jiang,et al. An Ontology-based Public Transport Query System , 2005, 2005 First International Conference on Semantics, Knowledge and Grid.
[22] Charu C. Aggarwal,et al. Mining Text Data , 2012 .
[23] Eni Mustafaraj,et al. Can Collective Sentiment Expressed on Twitter Predict Political Elections? , 2011, AAAI.
[24] Luis Miguel Romero Pérez,et al. Traffic Flow Estimation Models Using Cellular Phone Data , 2012, IEEE Transactions on Intelligent Transportation Systems.
[25] Karen Bickerstaff,et al. Participatory Local Governance and Transport Planning , 2001 .
[26] Ron Sivan,et al. Web-a-where: geotagging web content , 2004, SIGIR '04.
[27] Silvio Nocera,et al. The Key Role of Quality Assessment in Public Transport Policy , 2011 .
[28] Aron Culotta,et al. Inferring the origin locations of tweets with quantitative confidence , 2013, CSCW.
[29] Gisele L. Pappa,et al. Inferring the Location of Twitter Messages Based on User Relationships , 2011, Trans. GIS.
[30] William W. Cohen,et al. Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text , 2005, HLT.
[31] Satish V. Ukkusuri,et al. A novel transit rider satisfaction metric: Rider sentiments measured from online social media data , 2013 .
[32] Alan F. Smeaton,et al. Using Twitter to Detect and Tag Important Events in Sports Media , 2011, ICWSM.
[33] Wolfgang Nejdl,et al. How valuable is medical social media data? Content analysis of the medical web , 2009, Inf. Sci..
[34] Lu Gao,et al. Verb-Based Text Mining of Road Crash Report , 2013 .
[35] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..
[36] Susan Grant-Muller,et al. The Impact of Social Media Usage on Transport Policy: Issues, Challenges and Recommendations☆ , 2014 .
[37] Davy Janssens,et al. Ambient Systems , Networks and Technologies ( ANT 2013 ) An Activity-based Carpooling Microsimulation using Ontology , 2013 .
[38] Mike Rosner,et al. A Geospatial World Model for the Semantic Web , 2005, PPSWR.
[39] Sharon Myrtle Paradesi,et al. Geotagging Tweets Using Their Content , 2011, FLAIRS.
[40] Tsvi Kuflik,et al. Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data , 2015 .
[41] Walter Musakwa. The use of social media in public transit systems: The case of the Gautrain, Gauteng Province, South Africa: Analysis and lessons learnt , 2014 .
[42] James Purnama,et al. Traffic Condition Information Extraction & Visualization from Social Media Twitter for Android Mobile Application , 2011, Proceedings of the 2011 International Conference on Electrical Engineering and Informatics.
[43] Ari Rappoport,et al. Semi-Supervised Recognition of Sarcasm in Twitter and Amazon , 2010, CoNLL.
[44] Silvio Nocera,et al. Transportation elasticity for the analysis of Italian transportation demand on a regional scale , 2008 .
[45] Laura Eboli,et al. Performance indicators for an objective measure of public transport service quality , 2012 .
[46] S. Bregman. Uses of Social Media in Public Transportation , 2012 .
[47] G. A. Giannopoulos,et al. The application of information and communication technologies in transport , 2004, Eur. J. Oper. Res..
[48] Axel Schulz,et al. I See a Car Crash: Real-Time Detection of Small Scale Incidents in Microblogs , 2013, ESWC.
[49] Lawrence Birnbaum,et al. Reasoning Through Search: A Novel Approach to Sentiment Classification , 2007 .
[50] Hinrich Schütze,et al. Book Reviews: Foundations of Statistical Natural Language Processing , 1999, CL.
[51] Anders Hjalmarsson,et al. Move better with tripzoom , 2012 .
[52] Walter Ukovich,et al. Analysis of Impact of ICT Solutions in International Freight Management , 2012 .
[53] A. Kaplan,et al. Users of the world, unite! The challenges and opportunities of Social Media , 2010 .
[54] Alexander Zipf,et al. Explorative public transport flow analysis from uncertain social media data , 2014, GEOGROWD.
[55] Oren Etzioni,et al. Named Entity Recognition in Tweets: An Experimental Study , 2011, EMNLP.
[56] Jim Sterne,et al. Social Media Metrics: How to Measure and Optimize Your Marketing Investment , 2010 .
[57] Bu-Sung Lee,et al. TwiNER: named entity recognition in targeted twitter stream , 2012, SIGIR '12.
[58] Charles V. Trappey,et al. Knowledge discovery of customer satisfaction and dissatisfaction using ontology-based text analysis of critical incident dialogues , 2012, Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
[59] Hinrich Schütze,et al. Introduction to information retrieval , 2008 .
[60] Andreas Christmann,et al. Support vector machines , 2008, Data Mining and Knowledge Discovery Handbook.
[61] Scott Grosenick,et al. Real-Time Traffic Prediction Improvement through Semantic Mining of Social Networks , 2012 .
[62] S. Grant-Muller,et al. Intelligent Transport Systems: : The propensity for environmental and economic benefits , 2014 .
[63] Praveen Paritosh,et al. Freebase: a collaboratively created graph database for structuring human knowledge , 2008, SIGMOD Conference.
[64] Jacob Goldenberg,et al. Mine Your Own Business: Market-Structure Surveillance Through Text Mining , 2012, Mark. Sci..
[65] Eric J Miller,et al. Collecting Social Network Data to Study Social Activity-Travel Behavior: An Egocentric Approach , 2008 .
[66] Tsvi Kuflik,et al. The Efficacy of Mining Social Media Data for Transport Policy and Practice , 2014 .
[67] Vishal Gupta,et al. A Survey on Sentiment Analysis and Opinion Mining Techniques , 2013 .
[68] Kyumin Lee,et al. You are where you tweet: a content-based approach to geo-locating twitter users , 2010, CIKM.
[69] Patrick Paroubek,et al. Twitter as a Corpus for Sentiment Analysis and Opinion Mining , 2010, LREC.
[70] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[71] Dietrich Klakow,et al. A survey on the role of negation in sentiment analysis , 2010, NeSp-NLP@ACL.
[72] Mengen Chen,et al. Short Text Classification Improved by Learning Multi-Granularity Topics , 2011, IJCAI.
[73] Christopher Gerard Zimmer. SOCIAL MEDIA USE IN LOCAL PUBLIC AGENCIES: A STUDY OF CALIFORNIA'S CITIES , 2012 .
[74] Norbert Oppenheim,et al. Urban Travel Demand Modeling: From Individual Choices to General Equilibrium , 1995 .
[75] Cheryl O Dubose. The social media revolution. , 2011, Radiologic Technology.
[76] M. Castells. The Power of Identity , 1997 .
[77] Johan Bollen,et al. Modeling Public Mood and Emotion: Twitter Sentiment and Socio-Economic Phenomena , 2009, ICWSM.
[78] Lisa Schweitzer. How Are We Doing? Opinion Mining Customer Sentiment in US Transit Agencies and Airlines via Twitter , 2012 .
[79] Lei Huang,et al. AUDR: An Advanced Unstructured Data Repository , 2011, 2011 6th International Conference on Pervasive Computing and Applications.
[80] Brendan T. O'Connor,et al. From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series , 2010, ICWSM.
[81] Beverly Kuhn,et al. USER INFORMATION SYSTEMS: DEVELOPMENTS AND ISSUES FOR THE 21ST CENTURY , 2000 .