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NLG301 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News.

, , and . SemEval@ACL, page 847-851. Association for Computational Linguistics, (2017)

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A study of learning a merge model for multilingual information retrieval., , and . SIGIR, page 195-202. ACM, (2008)Exploring Ensemble of Models in Taxonomy-based Cross-Domain Sentiment Classification., , , and . CIKM, page 1279-1288. ACM, (2014)Taxonomy-based regression model for cross-domain sentiment classification., , , and . CIKM, page 1557-1560. ACM, (2013)Integrating Textual and Visual Information for Cross-Language Image Retrieval., , and . AIRS, volume 3689 of Lecture Notes in Computer Science, page 454-466. Springer, (2005)Cross-language information access to multilingual collections on the internet., and . JASIS, 51 (3): 281-296 (2000)Opinion extraction, summarization and tracking in news and blog corpora, , and . Proceedings of AAAI-2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, (2006)Combining and learning word embedding with WordNet for semantic relatedness and similarity measurement., , , , and . J. Assoc. Inf. Sci. Technol., 71 (6): 657-670 (2020)Fine-Grained Chinese Discourse Relation Labelling., , , and . LREC, European Language Resources Association (ELRA), (2016)Integrating textual and visual information for cross-language image retrieval: A trans-media dictionary approach., , and . Inf. Process. Manag., 43 (2): 488-502 (2007)Building a Bracketed Corpus Using Φ2 Statistics., and . IJCLCLP, (1997)