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Senti-LSSVM: Sentiment-oriented multi-relation extraction with latent structural SVM

Authors: Qu, Lizhen; Zhang, Yi; Wang, Rui; Jiang, Lili; Gemulla, Rainer; Weikum, Gerhard;

Senti-LSSVM: Sentiment-oriented multi-relation extraction with latent structural SVM

Keywords

004 Informatik

39 references, page 1 of 4

Yejin Choi and Claire Cardie. 2009. Adapting a polarity lexicon using integer linear programming for domainspecific sentiment classification. InProceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2, EMNLP '09, pages 590-598, Stroudsburg, PA, USA. Association for Computational Linguistics.

Yejin Choi and Claire Cardie. 2010. Hierarchical sequential learning for extracting opinions and their attributes. In Proceedings of the Annual meeting of the Association for Computational Linguistics, pages 269-274. Association for Computational Linguistics.

Yejin Choi, Eric Breck, and Claire Cardie. 2006. Joint extraction of entities and relations for opinion recognition. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 431- 439, Stroudsburg, PA, USA. Association for Computational Linguistics.

Jacob Cohen. 1968. Weighted Kappa: Nominal Scale Agreement Provision for Scaled Disagreement or Partial Credit. Psychological bulletin, 70(4):213.

Xiaowen Ding, Bing Liu, and Philip S. Yu. 2008. A holistic lexicon-based approach to opinion mining. In Proceedings of the 2008 International Conference on Web Search and Data Mining, pages 231-240, New York, NY, USA. ACM.

Xiaowen Ding, Bing Liu, and Lei Zhang. 2009. Entity discovery and assignment for opinion mining applications. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pages 1125-1134.

John Duchi and Yoram Singer. 2009. Efficient online and batch learning using forward backward splitting. The Journal of Machine Learning Research, 10:2899- 2934.

Murthy Ganapathibhotla and Bing Liu. 2008. Mining opinions in comparative sentences. In Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, pages 241-248, Stroudsburg, PA, USA. Association for Computational Linguistics. [OpenAIRE]

Namrata Godbole, Manjunath Srinivasaiah, and Steven Skiena. 2007. Large-scale sentiment analysis for news and blogs (system demonstration). In Proceedings of the International AAAI Conference on Weblogs and Social Media.

John E Hopcroft and Richard M Karp. 1973. An nˆ5/2 algorithm for maximum matchings in bipartite graphs. SIAM Journal on computing, 2(4):225-231.

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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