Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data

Author:

Grant‐Muller Susan M.1,Gal‐Tzur Ayelet2,Minkov Einat3,Nocera Silvio4,Kuflik Tsvi3,Shoor Itay5

Affiliation:

1. Institute for Transport StudiesUniversity of LeedsWoodhouse LnLeedsLS1 3HEUK

2. Transportation Research Institute, TechnionTechnion CityHaifa32000Israel

3. Information Systems DepartmentUniversity of HaifaMount CarmelHaifa31905Israel

4. IUAV University of VeniceResearch Unit TTL ‐ Transport, Territory and LogisticsConvento delle Terese ‐ Dorsoduro 2206I‐30123VeniceItaly

5. Computer Science DepartmentUniversity of HaifaMount CarmelHaifa31905Israel

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Reference79 articles.

1. KushalD.LawrenceS.PennockD.M.: ‘Mining the peanut gallery: opinion extraction and semantic classification of product reviews’.Proc. of the 12th Int. Conf. on World Wide Web 2003 pp.519–528

2. Opinion Mining and Sentiment Analysis

3. TumasjanA.SprengerT.O.SandnerP.G.WelpeI.M.: ‘Predicting elections with twitter: what 140 characters reveal about political sentiment’.Proc. of the Fourth Int. AAAI Conf. on Weblogs and Social Media 2010

4. Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards

5. KoppelM.ShtrimbergI.: ‘Good news or bad news? Let the market decide’.AAAI Spring Symp. on Exploring Attitude and Affect in Text: Theories and Applications 2004

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