Ad Hoc Retrieval of Documents with Topical Opinion

1. Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the Thirty-Fifth Annual Meeting of the Association for Computational Linguistics, pp. 174–181 (1997)

   Google Scholar 

2. Hurst, M., Nigam, K.: Retrieving topical sentiments from online document collections. In: Proceedings of the 11th conference on document recognition and retrieval (2004)

   Google Scholar 

3. Yi, J., et al.: Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques. In: Proceedings of the 3rd IEEE International Conference on Data Mining, IEEE Computer Society Press, Los Alamitos (2003)

   Google Scholar 

4. Dave, K., Lawrence, S., Pennock, D.M.: Mining the Peanut Gallery: Opinion Extraction and Semantic Classification of Product Reviews. In: Proceedings of the 12th World Wide Web Conference (2003)

   Google Scholar 

5. Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM Press, New York (2004)

   Google Scholar 

6. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the 2002 conference on empirical methods in natural language processing (2002)

   Google Scholar 

7. Turney, P.D.: Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL’02), pp. 417–424 (2002)

   Google Scholar 

8. Baker, M.C.: Lexical categories: verbs, nouns and adjectives. Cambridge University Press, Cambridge (2003)

   Google Scholar 

9. Dixon, R.M.W., Aikhenvald, A.Y.: Adjective classes. A crosslinguistic typology. Oxford University Press, Oxford (2004)

   Google Scholar 

10. Bruce, R.F., Wiebe, J.M.: Recognizing subjectivity: a case study in manual tagging. Natural Language Engineering 5(2), 187–205 (1999)

    Article  Google Scholar 

11. Wiebe, J.: Learning subjective adjectives from corpora. In: Proceedings of the 17th National Conference on Artificial Intelligence, pp. 735–740 (2000)

    Google Scholar 

12. Turney, P.D., Littman, M.L.: Unsupervised learning of semantic orientation from a hundred-billion-word corpus. Tech. Rep. EGB-1094, National Research Council Canada (2002)

    Google Scholar 

13. Greenbaum, S.: The Oxford English grammar. Oxford University Press, Oxford (1996)

    Google Scholar 

14. Rijkhoek, P.: On Degree Phrases and Result Clauses. PhD thesis, University of Groningen, Groningen (1998)

    Google Scholar 

15. Li, X., Roth, D.: Exploring evidence for shallow parsing. In: Proceedings of the Annual Conference on Computational Natural Language Learning (2001)

    Google Scholar 

16. Sinclair, J. (ed.): Collins Cobuild English Grammar. Harper Collins, New York (1990)

    Google Scholar 

17. Vendler, Z.: Adjectives and nominalizations, p. 86. Mouton & Co. N.V., The Hague (1968)

    Google Scholar 

18. Pitman, J.: Probability, p. 559. Springer, New York (1993)

    MATH  Google Scholar 

19. Church, K., et al.: Lexical substitutability. In: Atkins, B.T.S., Zampoli, A. (eds.) Computational Approaches to the Lexicon, pp. 153–177. Oxford University Press, Oxford (1994)

    Google Scholar 

20. Vechtomova, O., Robertson, S.E., Jones, S.: Query expansion with long-span collocates. Information Retrieval 6, 251–273 (2003)

    Article  Google Scholar 

21. Manning, D., Schütze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)

    MATH  Google Scholar 

Download references