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Disambiguation of "Weichselbraun, Albert"

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Detection of Valid Sentiment-Target Pairs in Online Product Reviews and News Media Articles.

, , and . WI, page 97-104. IEEE Computer Society, (2016)

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Anja Weichselbraun

Albert Waal

Albert Moser

Albert Waas

Rudolf Albert

 

Other publications of authors with the same name

Web Content Mining for Comparing Corporate and Third-Party Online Reporting: A Case Study on Solid Waste Management, , and . Business Strategy and the Environment, 15 (x): In Press (2006)Extracting and Grounding Contextualized Sentiment Lexicons., , and . IEEE Intelligent Systems, 28 (2): 39-46 (2013)Mitigating linked data quality issues in knowledge-intense information extraction methods., and . WIMS, page 17:1-17:12. ACM, (2017)Rule-based opinion target and aspect extraction to acquire affective knowledge., , and . WWW (Companion Volume), page 557-564. International World Wide Web Conferences Steering Committee / ACM, (2013)Leveraging the Wisdom of the Crowds for the Acquisition of Multilingual Language Resources, , , , and . Proceedings of the Eighth International Conference on Language Resources and Evaluation, ŁREC\ 2012, Istanbul, Turkey, May 23-25, 2012, page 379--383. European Language Resources Association \(ELRA)\, (2012)Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets., , and . Cogn. Comput., 15 (4): 1355-1371 (2023)A Regional News Corpora for Contextualized Entity Discovery and Linking., , , and . LREC, European Language Resources Association (ELRA), (2016)Cross-Domain Contextualisation of Sentiment Lexicons, , and . 19th European Conference on Artificial Intelligence (ECAI), volume 215 of Frontiers in Artificial Intelligence and Applications, page 771--776. Lisbon, Portugal, IOS Press, (August 2010)Evidence Sources, Methods and Use Cases for Learning Lightweight Domain Ontologies, , and . Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, IGI Global, (2011)Ontology Learning based on Text Mining and Social Evidence Sources. (9 February 2011)University of Western Australia, School of Computer Science and Software Engineering, Perth, Australia.