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Kim Schouten
Kim Schouten
Data Scientist, Erasmus Q-Intelligence
Verified email at ese.eur.nl - Homepage
Title
Cited by
Cited by
Year
Survey on aspect-level sentiment analysis
K Schouten, F Frasincar
IEEE Transactions on Knowledge and Data Engineering 28 (3), 813-830, 2015
5652015
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
1102017
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 (1), 27-52, 2013
802013
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
482010
Finding implicit features in consumer reviews for sentiment analysis
K Schouten, F Frasincar
International Conference on Web Engineering, 130-144, 2014
442014
Ontology-enhanced aspect-based sentiment analysis
K Schouten, F Frasincar, F Jong
International Conference on Web Engineering, 302-320, 2017
352017
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
252014
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
242019
Ontology-driven sentiment analysis of product and service aspects
K Schouten, F Frasincar
European semantic web conference, 608-623, 2018
242018
Aspect-based sentiment analysis on the web using rhetorical structure theory
R Hoogervorst, E Essink, W Jansen, M Helder, K Schouten, F Frasincar, ...
International Conference on Web Engineering, 317-334, 2016
222016
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
182018
An information gain-driven feature study for aspect-based sentiment analysis
K Schouten, F Frasincar, R Dekker
International Conference on Applications of Natural Language to Information …, 2016
162016
Review-Level Aspect-Based Sentiment Analysis Using an Ontology
S de Kok, L Punt, R van den Puttelaar, K Ranta, K Schouten, F Frasincar
15*2018
Soba: Semi-automated ontology builder for aspect-based sentiment analysis
L Zhuang, K Schouten, F Frasincar
Journal of Web Semantics 60, 100544, 2020
132020
Aspect-based sentiment analysis using lexico-semantic patterns
K Schouten, F Baas, O Bus, A Osinga, N Ven, S Loenhout, L Vrolijk, ...
International Conference on Web Information Systems Engineering, 35-42, 2016
122016
The benefit of concept-based features for sentiment analysis
K Schouten, F Frasincar
Semantic Web Evaluation Challenges, 223-233, 2015
122015
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
112019
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
112016
Linked Data in Action: Personalized Museum Tours on Mobile Devices.
O Kovalenko, Y Mrabet, K Schouten, S Sejdovic
ESWC Developers Workshop, 14-19, 2015
92015
SPEED: a semantics-based pipeline for economic event detection
F Hogenboom, A Hogenboom, F Frasincar, U Kaymak, O Meer, ...
International Conference on Conceptual Modeling, 452-457, 2010
92010
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