Classifying Documents According to Locational Relevance

1. Ding, J., Gravano, L., Shivakumar, N.: Computing Geographical Scopes of Web Resources. In: Proceedings of the 26th international Conference on Very Large Data Bases, pp. 545–556 (2000)

   Google Scholar 

2. Amitay, E., Har’El, N., Sivan, R., Soffer, A.: Web-a-where: geotagging web content. In: Proceedings of the 27th international ACM SIGIR Conference on Research and Development in information Retrieval, pp. 273–280 (2004)

   Google Scholar 

3. Gravano, L., Hatzivassiloglou, V., Lichtenstein, R.: Categorizing web queries according to geographical locality. In: Proceedings of the 12th international Conference on information and Knowledge Management, pp. 325–333 (2003)

   Google Scholar 

4. Zhuang, Z., Brunk, C., Giles, C.L.: Modeling and visualizing geo-sensitive queries based on user clicks. In: Proceedings of the 1st international Workshop on Location and the Web, pp. 73–76 (2008)

   Google Scholar 

5. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, San Francisco (2000)

   Google Scholar 

6. Woodruff, A.G., Plaunt, C.: GIPSY: Automated geographic indexing of text documents. Journal of the American Society for Information Science 45(9), 645–655 (1994)

   Article  Google Scholar 

7. Cristianini, N., Shawe-Taylor, J.: An Introduction to Support Vector Machines and other kernel-based learning methods. Cambridge University Press, Cambridge (2000)

   Book  MATH  Google Scholar 

8. Johansson, M., Harrie, L.: Using Java Topology Suite for real-time data generalisation and integration. In: Proceedings of the 2002 workshop of the International Society for Photogrammetry and Remote Sensing (2002)

   Google Scholar 

9. Leidner, J.L.: Toponym Resolution: a Comparison and Taxonomy of Heuristics and Methods. PhD Thesis, University of Edinburgh (2007)

   Google Scholar 

10. Yang, Y.: An Evaluation of Statistical Approaches to Text Categorization. Information Retrieval 1(1-2), 69–90 (1999)

    Article  Google Scholar 

11. Sebastiani, F.: Machine learning in automated text categorization. ACM Computer Surveys 34(1), 1–47 (2002)

    Article  Google Scholar 

12. Joachims, T.: Text Categorization with Suport Vector Machines: Learning with Many Relevant Features. In: Proceedings of the 10th European Conference on Machine Learning, pp. 137–142 (1998)

    Google Scholar 

13. Forman, G.: An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research 3, 1289–1305 (2003)

    MATH  Google Scholar 

14. Apté, C., Damerau, F., Weiss, S.M.: Automated learning of decision rules for text categorization. ACM Transactions on Information Systems 12(3), 233–251 (1994)

    Article  Google Scholar 

15. Genkin, A., Lewis, D.D., Madigan, D.: Large-Scale Bayesian Logistic Regression for Text Categorization. Rutgers University Technical Report (2004)

    Google Scholar 

16. Dasgupta, A., Drineas, P., Harb, B., Josifovski, V., Mahoney, M.W.: Feature selection methods for text classification. In: Proceedings of the 13th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 230–239 (2007)

    Google Scholar 

17. Sang, E.T.K., De Meulder, F.: Introduction to the CoNLL-2003 shared task: Language-Independent Named Entity Recognition. In: Proceedings of the 7th Conference on Natural Language Learning, pp. 142–147 (2003)

    Google Scholar 

18. Kornai, A.: Proceedings of the HLT-NAACL 2003 workshop on the analysis of geographic references (2003)

    Google Scholar 

19. Garbin, E., Mani, I.: Disambiguating toponyms in news. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pp. 363–370 (2005)

    Google Scholar 

20. Rauch, E., Bukatin, M., Baker, K.: A confidence-based framework for disambiguating geographic terms. In: Proceedings of the HLT-NAACL 2003 Workshop on Analysis of Geographic References, pp. 50–54 (2003)

    Google Scholar 

21. Chakrabarti, S., Dom, B., Indyk, P.: Enhanced hypertext categorization using hyperlinks. In: Proceedings of the 1998 ACM SIGMOD international Conference on Management of Data, pp. 307–318 (1998)

    Google Scholar 

22. Qi, X., Davison, B.D.: Knowing a web page by the company it keeps. In: Proceedings of the 15th ACM international Conference on information and Knowledge Management, pp. 228–237 (2006)

    Google Scholar 

23. Baykan, E., Henzinger, M., Marian, L., Weber, I.: Purely URL-based Topic Classification. In: Proceedings of the 18th international World Wide Web Conference, Alternate Track Papers and Posters, p. 1109 (2009)

    Google Scholar 

24. Baykan, E., Henzinger, M., Weber, I.: Web page language identification based on URLs. Proceedings of the VLDB Endowment 1(1), 176–187 (2008)

    Article  Google Scholar 

25. Jones, R., Zhang, W.V., Rey, B., Jhala, P., Stipp, E.: Geographic intention and modification in web search. International Journal of Geographical Information Science 22(3), 229–246 (2009)

    Article  Google Scholar 

26. Yu, B., Cai, G.: A query-aware document ranking method for geographic information retrieval. In: Proceedings of the 4th ACM workshop on Geographical information retrieval, pp. 49–54 (2007)

    Google Scholar 

27. Cai, G.: GeoVSM: An Integrated Retrieval Model for Geographic Information. GIScience, 65–79 (2002)

    Google Scholar 

28. Anastáio, I., Martins, B., Calado, P.: A Comparison of Different Approaches for Assigning Geographic Scopes to Documents. In: Proceedings of the 1st INForum - Simpósio de Informática (2009)

    Google Scholar 

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