Intelligent News Aggregator for German with Sentiment Analysis - Smart Information Systems: Computational Intelligence for Real-Life Applications - page 44

22. A. Kennedy, D. Inkpen, Sentiment classification of movie reviews using contextual valence
shifters. Comput. Intell. 22 , 2006 (2006)
23. S.-M. Kim, E. Hovy, Extracting opinions, opinion holders, and topics expressed in online news
media text, in Proceedings of the Workshop on Sentiment and Subjectivity in Text, SST'06
(Association for Computational Linguistics, Stroudsburg, 2006), pp. 1-8
24. R. Krestel, S. Bergler, R. Witte, Minding the source: automatic tagging of reported speech in
newspaper articles, in Proceedings of the Sixth International Language Resources and Evalua-
tion (LREC 2008) (European Language Resources Association (ELRA), 2008), pp. 2823-2828
25. W. Lezius, Morphy—German morphology, part-of-speech tagging and applications, in Pro-
ceedings of the 9th EURALEX International Congress (2000), pp. 619-623
26. J. Liang, N. Dhillon, K. Koperski, A large-scale system for annotating and querying quo-
tations in news feeds, in Proceedings of the 3rd International Semantic Search Workshop,
SEMSEARCH'10 (ACM, New York, 2010), pp. 7:1-7:5
27. H. Li, X. Cheng, K. Adson, T. Kirshboim, F. Xu, Annotating opinions in German political
news, in 8th ELRA Conference on Language Resources and Evaluation. International Confer-
ence on Language Resources and Evaluation ( LREC-2012 ) , 8th, 23-25 May, Istanbul, Turkey
(European Language Resources Association (ELRA), 2012). Accepted for publication
28. B. Liu, L. Zhang, A survey of opinion mining and sentiment analysis, in Mining Text Data ,
ed. by C.C. Aggarwal, C.X. Zhai (Springer, US, 2012), pp. 415-463
29. D.C. Manning, P. Raghavan, H. Schütze, Introduction to Information Retrieval (Cambridge
University Press, Cambridge, 2008)
30. J. Martineau, T. Finin, Delta TFIDF: an improved feature space for sentiment analysis. Artif.
Intell. 29 , 258-261 (2009)
31. S. Momtazi, Fine-grained German sentiment analysis on social media, in Proceedings of the
Eight International Conference on Language Resources and Evaluation ( LREC'12 ) (European
Language Resources Association (ELRA), Istanbul, Turkey, May 2012)
32. S. Mukherjee, P. Bhattacharyya, Sentiment analysis in Twitter with light weight discourse
analysis, in Proceedings of COLING 2012 , Mumbai, December (2012). The COLING 2012
Organizing Committee, pp. 1847-1864
33. T. Nakagawa, K. Inui, S. Kurohashi, Dependency tree-based sentiment classification using
CRFs with hidden variables, in Human Language Technologies: The 2010 Annual Conference
of the North American Chapter of the Association for Computational Linguistics (Association
for Computational Linguistics, Los Angeles, 2010), pp. 786-794
34. T. O'Keefe, J.R. Curran, P. Ashwell, I. Koprinska, An annotated corpus of quoted opinions in
news articles, in Proceedings of the 51st Annual Meeting of the Association for Computational
Linguistics (Volume 2: Short Papers) (Association for Computational Linguistics, Sofia 2013),
pp. 516-520
35. T. O'Keefe, S. Pareti, J.R. Curran, I. Koprinska, M. Honnibal, A sequence labelling approach
to quote attribution, in Proceedings of the 2012 Joint Conference on Empirical Methods in
Natural Language Processing and Computational Natural Language Learning (Association
for Computational Linguistics, Jeju Island, (2012), pp. 790-799
36. B. Pang, L. Lee, Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2 (1-2), 1-135
(2008)
37. B. Pang, L. Lee, S. Vaithyanathan, Thumbs up?: sentiment classification using machine learn-
ing techniques, in Proceedings of the ACL-02 Conference on Empirical Methods in Natural
Language Processing, EMNLP'02 , vol. 10 (Association for Computational Linguistics, 2002),
pp. 79-86)
38. S. Pareti, T. O'Keefe, I. Konstas, J.R. Curran, I. Koprinska, Automatically detecting and
attributing indirect quotations, in EMNLP (ACL, 2013), pp. 989-999
39. W. Paulo, D. Fernandes, E. Motta, R.L. Milidiú, in Proceedings of the 8th Brazilian Symposium
in Information and Human Language Technology , Chapter Quotation extraction for Portuguese
(2011)
40. L. Polanyi, A. Zaenen, Contextual valence shifters, in Working Notes—Exploring Attitude and
Affect in Text: Theories and Applications (AAAI Spring Symposium Series) (2004)