Kim Schouten
Kim Schouten
Data Scientist, Nederlandse Zorgautoriteit
Verified email at - Homepage
Cited by
Cited by
Survey on aspect-level sentiment analysis
K Schouten, F Frasincar
IEEE transactions on knowledge and data engineering 28 (3), 813-830, 2015
Supervised and unsupervised aspect category detection for sentiment analysis with co-occurrence data
K Schouten, O Van Der Weijde, F Frasincar, R Dekker
IEEE transactions on cybernetics 48 (4), 1263-1275, 2017
Semantics-based information extraction for detecting economic events
A Hogenboom, F Hogenboom, F Frasincar, K Schouten, O Van Der Meer
Multimedia Tools and Applications 64, 27-52, 2013
Finding implicit features in consumer reviews for sentiment analysis
K Schouten, F Frasincar
Web Engineering: 14th International Conference, ICWE 2014, Toulouse, France …, 2014
A semantic web-based approach for personalizing news
K Schouten, P Ruijgrok, J Borsje, F Frasincar, L Levering, F Hogenboom
Proceedings of the 2010 ACM symposium on applied computing, 854-861, 2010
Ontology-enhanced aspect-based sentiment analysis
K Schouten, F Frasincar, F de Jong
Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June …, 2017
Framing a conflict! How media report on earthquake risks caused by gas drilling: A longitudinal analysis using machine learning techniques of media reporting on gas drilling …
AE Opperhuizen, K Schouten, EH Klijn
Journalism Studies 20 (5), 714-734, 2019
Ontology-driven sentiment analysis of product and service aspects
K Schouten, F Frasincar
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
Commit-p1wp3: A co-occurrence based approach to aspect-level sentiment analysis
K Schouten, F Frasincar, F De Jong
Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014
SOBA: Semi-automated ontology builder for aspect-based sentiment analysis
L Zhuang, K Schouten, F Frasincar
Journal of Web Semantics 60, 100544, 2020
Aspect-based sentiment analysis on the web using rhetorical structure theory
R Hoogervorst, E Essink, W Jansen, M Van Den Helder, K Schouten, ...
Web Engineering: 16th International Conference, ICWE 2016, Lugano …, 2016
Aggregated Aspect-based Sentiment Analysis with Ontology Features
S de Kok, L Punt, R van den Puttelaar, K Ranta, K Schouten, F Frasincar
Progress in Artificial Intelligence 7 (4), 295-306, 2018
Review-Level Aspect-Based Sentiment Analysis Using an Ontology
S de Kok, L Punt, R van den Puttelaar, K Ranta, K Schouten, F Frasincar
An information gain-driven feature study for aspect-based sentiment analysis
K Schouten, F Frasincar, R Dekker
Natural Language Processing and Information Systems: 21st International …, 2016
Detection of multiple implicit features per sentence in consumer review data
N Dosoula, R Griep, R den Ridder, R Slangen, K Schouten, F Frasincar
Databases and Information Systems: 12th International Baltic Conference, DB …, 2016
Heracles: A framework for developing and evaluating text mining algorithms
K Schouten, F Frasincar, R Dekker, M Riezebos
Expert Systems with Applications 127, 68-84, 2019
Sentiment Analysis of Multiple Implicit Features per Sentence in Consumer Review Data.
N Dosoula, R Griep, R Den Ridder, R Slangen, R Van Luijk, K Schouten, ...
DB&IS (Selected Papers), 241-254, 2016
The benefit of concept-based features for sentiment analysis
K Schouten, F Frasincar
Semantic Web Evaluation Challenges, 223-233, 2015
Aspect-based sentiment analysis using lexico-semantic patterns
K Schouten, F Baas, O Bus, A Osinga, N van de Ven, S van Loenhout, ...
Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016
Semantics-driven implicit aspect detection in consumer reviews
K Schouten, N De Boer, T Lam, M Van Leeuwen, R Van Luijk, F Frasincar
Proceedings of the 24th International Conference on World Wide Web, 109-110, 2015
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