Sentiment-Oriented contextual advertising

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5478 LNCS, Issue , 2009, Pages 202-215

  Teng Kai, Fan ^a   Chia Hui, Chang ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Marketing; Sentiment Detection; Web Advertising

Indexed keywords

GENERIC WEB; MARKETING MESSAGE; ONLINE ADVERTISING; SENTIMENT ANALYSIS; SENTIMENT DETECTION; WEB ADVERTISING;

INFORMATION RETRIEVAL; INFORMATION SERVICES; MARKETING; WORLD WIDE WEB;

INTERNET;

EID: 67650703785     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00958-7_20     Document Type: Conference Paper

References (20)

1. Anagnostopoulous, A., Broder, A.Z., Gabrilovich, E., Josifovski, V., Riedei, L.: Just-in- Time Contextual Advertising. In: 16th conference on CIKM, pp. 331-340. ACM, New York (2007)
2. Broder, A., Fontoura, M., Josifovski, V., Riedel, L.: A semantic approach to contextual advertising. In: 30th conference on SIGIR, pp. 559-566. ACM Press, New York (2007) (Pubitemid 350165004)
3. Chang, C.-C., Lin, C.-J.: LIBSVM: a library for support vector machines (2001)
4. Chatterjee, P., Hoffman, D.L., Noval, T.P.: Modeling the Clickstream: Implications for Web-Based Advertising Efforts. Marketing Science 22, 520-541 (2003)
5. Esuli, A., Sebastiani, F.: SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. In: 5th Conference on Language Resources and Evaluation, pp. 520-541 (2006)
6. Hatzivassiloglou, V., Mckeown, K.R.: Predicting the Semantic Orientation of Adjectives. In: 35th conference on ACL, pp. 174-181. ACM Press, New York (1997)
7. Kim, S.-M., Hovy, E.: Determining the sentiment of opinions. In: 20th international conference on COLING, pp. 1367-1373 (2004)
8. Kim, S.-M., Hovy, E.: Automatic Identification of Pro and Con Reasons in Online Reviews. In: Proceedings of the COLING/ACL, pp. 483-490. ACM Press, New York (2006)
9. Lacerda, A., Cristo, M., Gonçalves, M.A., Fan, W.g., Ziviani, N., Ribeiro-Neto, B.: Learning to advertise. In: 29th conference on SIGIR, pp. 549-556. ACM Press, New York (2006)
10. Langheinrich, M., Nakamura, A., Abe, N., Kamba, T., Koseki, Y.: Unintrusive customization techniques for Web advertising. J. Computer and Telecommunications Networking 31, 1259-1272 (1999) (Pubitemid 30869585)
11. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification Using Machine Learning Techniques. In: Conference on EMNLP, pp. 79-86 (2002)
12. Porter, M.F.: An algorithm for suffix stripping. Program: electronic library & information systems 40, 211-218 (2006)
13. Ribeiro-Neto, B., Cristo, M., Golgher, P.B., Moura, E.S.d.: Impedance coupling in contenttargeted advertising. In: 28th conference on SIGIR, pp. 496-503. ACM, New York (2005)
14. Riloff, E., Wiebe, J.: Learning Extraction Patterns for Subjective Expressions. In: Proceedings of the 2003 conference on EMNLP, vol.10, pp. 105-112 (2003)
15. Turney, P.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: 40th Annual Meeting of the ACL, pp. 417-424 (2002)
16. Wang, C., Zhang, P., Choi, R., D'Eredita, M.: Understanding consumers attitude toward advertising. In: 8th Americas Conference on Information Systems, pp. 1143-1148 (2002)
17. Weideman, M., Haig-Smith, T.: An investigation into search engines as a form of targeted advert delivery. In: Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology, pp. 258-1258 (2002)
18. Wiebe, J., Riloff, E.: Creating subjective and objective sentence classifiers from unannotated texts. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol.3406, pp. 486-497. Springer, Heidelberg (2005)
19. Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis. In: Proceedings of the conference on HLT/ EMNLP, pp. 347-354 (2005)
20. Yu, H., Hatzivassiloglou, V.: Towards answering opinion questions: separating facts from opinions and identifying the polarity of opinion sentences. In: Conference on EMNLP, pp. 129-136. ACM Press, New York (2003)