Information Technology Reference
In-Depth Information
Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT'09 , vol. 3 (IEEE
Computer Society, Washington, 2009), pp. 523-526
4. A. Balahur, R. Steinberger, M. Kabadjov, V. Zavarella, E. van der Goot, M. Halkia,
B. Pouliquen, J. Belyaeva, Sentiment analysis in the news, in Proceedings of the Seventh Inter-
national Conference on Language Resources and Evaluation ( LREC'10 ) , Valletta, Malta, May
2010 , ed. by N. Calzolari (Conference Chair), K. Choukri, B. Maegaard, J. Mariani, J. Odijk,
S. Piperidis, M. Rosner, D. Tapias (European Language Resources Association (ELRA), 2010)
5. L. Barbosa, J. Feng, Robust sentiment detection on Twitter from biased and noisy data, in
Proceedings of the 23rd International Conference on Computational Linguistics: Posters,
COLING'10 . (Association for Computational Linguistics, Stroudsburg, (2010) pp. 36-44
6. S. Brants, S. Dipper, P. Eisenberg, S. Hansen-Schirra, E. König, W. Lezius, C. Rohrer, G.
Smith, H. Uszkoreit, Tiger: linguistic interpretation of a German corpus. Res. Lang. Comput.
2 (4), 597-620 (2004)
7. S. Cerini, V. Compagnoni, A. Demontis, M. Formentelli, G. Gandini, Micro-WNOP: a gold
standard for the evaluation of automatically compiled lexical resources for opinion mining, in
Language Resources and Linguistic Theory: Typology, Second Language Acquisition, English
Linguistics , ed. by A. Sanso (Franco Angeli Editore, Milano, 2007)
8. C.-C. Chang, C.-J. Lin, LIBSVM: a library for support vector machines. ACM Trans. Intell.
Syst. Technol. 2 (3), 27:1-27:27 (2011)
9. S. Clematide, S. Gindl, M. Klenner, S. Petrakis, R. Remus, J. Ruppenhofer, U. Waltinger,
M. Wiegand, MLSA—a multi-layered reference corpus for German sentiment analysis, in Pro-
ceedings of the 8th International Conference on Language Resources and Evaluation ( LREC )
(2012)
10. L.A.D.F. de Morais Sarmento, S.S. Nunes, Automatic extraction of quotes and topics from
news feeds, in 4th Doctoral Symposium on Informatics Engineering (2009)
11. É. de La Clergerie, B. Sagot, R. Stern, P. Denis, G. Recourcé, V. Mignot, Extracting and visual-
izing quotations from news wires, in Human Language Technology. Challenges for Computer
Science and Linguistics , Lecture Notes in Computer Science, vol. 6562, ed. by Z. Vetulani
(Springer, Berlin, 2011), pp. 522-532
12. P. Domingos, A few useful things to know about machine learning. Commun. ACM 55 (10),
78-87 (2012)
13. D.K. Elson, K. McKeown, Automatic attribution of quoted speech
in literary narrative, in
AAAI , ed. by M. Fox, D. Poole (AAAI Press, 2010)
14. A. Esuli, F. Sebastiani, SentiWordNet: a publicly available lexical resource for opinion mining,
in Proceedings of Language Resources and Evaluation ( LREC ) (2006)
15. M. Faruqui, S. Padó, Training and evaluating a German named entity recognizer with semantic
generalization, in Proceedings of KONVENS 2010 (Saarbrücken, Germany, 2010)
16. J.R. Finkel, T. Grenager, C.D. Manning, Incorporating non-local information into information
extraction systems by Gibbs sampling, in Proceedings of the 43nd Annual Meeting of the Asso-
ciation for Computational Linguistics ( ACL 2005 ) (The Association for Computer Linguistics,
2005), pp. 363-370
17. J.G. Fiscus, G.R. Doddington, Topic detection and tracking evaluation overview, in Topic
Detection and Tracking , ed. by J. Allan (Kluwer Academic Publishers, Norwell, 2002), pp.
17-31
18. A. Go, R. Bhayani, L. Huang, Twitter sentiment classification using distant supervision.
CS224N Project Report, Stanford (2009) pp. 1-6
19. V. Hatzivassiloglou, J.M. Wiebe, Effects of adjective orientation and gradability on sentence
subjectivity, in Proceedings of the 18th Conference on Computational Linguistics, COLING'00
(Association for Computational Linguistics, Stroudsburg, 2000), pp. 299-305
20. L. Hennig, D. Ploch, D. Prawdzik, B. Armbruster, H. Düwiger, E.W. De Luca, S. Albayrak,
SPIGA—a multilingual news aggregator, in Proceedings of GSCL'11 (2011)
21. M. Hu, B. Liu, Mining and summarizing customer reviews, in Proceedings of the Tenth
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'04
(ACM, New York, 2004), pp. 168-177
Search WWH ::




Custom Search