| SentiWS–a Publicly Available German-language Resource for Sentiment Analysis R Remus, U Quasthoff, G Heyer Proceedings of the 7th International Conference on Language Resources and …, 2010 | 437 | 2010 |
| Domain adaptation using domain similarity-and domain complexity-based instance selection for cross-domain sentiment analysis R Remus 2012 IEEE 12th international conference on data mining workshops, 717-723, 2012 | 69 | 2012 |
| Exb themis: Extensive feature extraction from word alignments for semantic textual similarity C Hänig, R Remus, X De La Puente Proceedings of the 9th international workshop on semantic evaluation …, 2015 | 49 | 2015 |
| MLSA―A Multi-layered Reference Corpus for German Sentiment Analysis S Clematide, S Gindl, M Klenner, S Petrakis, R Remus, J Ruppenhofer, ... University of Zurich, 2012 | 48 | 2012 |
| Towards well-grounded phrase-level polarity analysis R Remus, C Hänig International Conference on Intelligent Text Processing and Computational …, 2011 | 23 | 2011 |
| Exb text summarizer S Thomas, C Beutenmüller, X De La Puente, R Remus, S Bordag Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015 | 19 | 2015 |
| Sentiment in German language news and blogs, and the DAX R Remus, G Heyer, K Ahmad Text Mining Services 2009, 149-158, 2009 | 17 | 2009 |
| Improving sentence-level subjectivity classification through readability measurement R Remus Proceedings of the 18th Nordic Conference of Computational Linguistics …, 2011 | 15 | 2011 |
| Modeling and Representing Negation in Data-driven Machine Learning-based Sentiment Analysis. R Remus ESSEM@ AI* IA, 22-33, 2013 | 13 | 2013 |
| Asvuniofleipzig: Sentiment analysis in twitter using data-driven machine learning techniques R Remus Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 11 | 2013 |
| Textual Characteristics for Language Engineering. M Bank, R Remus, M Schierle LREC, 515-519, 2012 | 10 | 2012 |
| Textual characteristics of different-sized corpora R Remus, M Bank The 5th workshop on building and using comparable corpora, 148, 2012 | 8 | 2012 |
| Learning Categories and their Instances by Contextual Features. A Schlaf, R Remus LREC, 1235-1239, 2012 | 5 | 2012 |
| Learning from Domain Complexity. R Remus, D Ziegelmayer LREC, 2021-2028, 2014 | 3 | 2014 |
| Data-Driven vs. Dictionary-Based Word n-Gram Feature Induction for Sentiment Analysis R Remus, S Rill Language Processing and Knowledge in the Web: 25th International Conference …, 2013 | 3* | 2013 |
| ExB Medical Text Miner C Hänig, R Remus, V Demchik, S Bordag Proceedings of the fifth BioCreative challenge evaluation workshop, 2015 | 2 | 2015 |
| Steht die Wahrheit in den Sternen? U von Jan, U Hillebrand, S Engeli, UV Albrecht Adipositas-Ursachen, Folgeerkrankungen, Therapie 11 (02), 94-99, 2017 | | 2017 |
| Genre and Domain Dependencies in Sentiment Analysis R Remus | | 2015 |
| Labeling queries for a people search engine A Schlaf, A Kirschenbaum, R Remus, T Efer Natural Language Processing and Information Systems: 17th International …, 2012 | | 2012 |
| Stimmungen in deutschsprachigen Nachrichten, Blogs und dem DAX KA Robert Remus eDITion, 24-27, 2010 | | 2010 |
Christian HänigAnhalt University of Applied SciencesПідтверджена електронна адреса в hs-anhalt.de
