A Link to the Past: Constructing Historical Social Networks

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2011, Pages 61-69

  Van De Camp, Matje ^a   Van Den Bosch, Antal ^a  

^a TILBURG UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS;

CASE-STUDIES; EXPERT JUDGMENT; GENERALIZATION PERFORMANCE; LABELINGS; LEARNING CLASSIFIERS; MACHINE-LEARNING; PERSONAL RELATIONSHIPS; QUALITATIVE ANALYSIS; SOCIAL MOVEMENTS; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 85121787874     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Antal van den Bosch, Bertjan Busser, Sander Canisius and Walter Daelemans. 2007. An efficient memorybased morphosyntactic tagger and parser for Dutch. Selected Papers of the 17th Computational Linguistics in the NetherlandsMeeting, Leuven, Belgium, 99- 114.
2. Chih-Chung Chang and Chih-Jen Lin. 2001. LIBSVM: a library for support vector machines. Software available at http://www.csie.ntu.edu. tw/cjlin/libsvm.
3. Aron Culotta, Andrew McCallum and Jonathan Betz. 2006. Integrating probabilistic extraction models and data mining to discover relations and patterns in text. Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics (HLT-NAACL) 2006, 296-303.
4. Walter Daelemans, Jakub Zavrel, Ko van der Sloot and Antal van den Bosch. 2010. TiMBL: Tilburg Memory Based Learner, version 6.3, Reference Guide. ILK Research Group Technical Report Series no. 10-01.
5. David K. Elson, Nicholas Dames, Kathleen R. McKeown. 2010. Extracting social networks from literary fiction. Proceedings of the 48th AnnualMeeting of the Association for Computational Linguistics 2010, 138- 147.
6. Thorsten Joachims. 1998. Text categorization with support vector machines: Learning with many relevant features. Proceedings of ECML-98, 10th European Conference on Machine Learning 1998, 137-142.
7. Henry Kautz, Bart Selman and Mehul Shah. 1997. The hidden web. AI Magazine, volume 18, number 2, 27- 36.
8. Soo-Min Kim and Eduard Hovy. 2006. Automatic identification of pro and con reasons in online reviews. Proceedings of the COLING/ACL Main Conference Poster Sessions, 483-490.
9. Yutaka Matsuo, Hironori Tomobe, Koiti Hasida and Mitsuru Ishizuka. 2004. Finding social network for trust calculation. European Conference on Artificial Intelligence - ECAI 2004.
10. Peter Mika. 2005. Flink: Semantic web technology for the extraction and analysis of social networks. Web Semantics: Science, Services and Agents on theWorld Wide Web, volume 3, number 2-3, 211-223.
11. Bo Pang, Lillian Lee and Shivakumar Vaithyanathan. 2002. Thumbs up Sentiment classification using machine learning techniques. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 79-86.
12. Bo Pang and Lillian Lee. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, vol. 2, number 1-2, 1-135.
13. Deepak Ravichandran and EduardHovy. 2002. Learning Surface Text Patterns for a Question Answering System. Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL) 2002.
14. Peter D. Turney. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. Proceedings of the Association for Computational Linguistics (ACL), 417-424.