K
Kim Schouten
Researcher at Erasmus University Rotterdam
Publications - 43
Citations - 1218
Kim Schouten is an academic researcher from Erasmus University Rotterdam. The author has contributed to research in topics: Sentiment analysis & Ontology (information science). The author has an hindex of 13, co-authored 43 publications receiving 931 citations.
Papers
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Journal ArticleDOI
Survey on Aspect-Level Sentiment Analysis
Kim Schouten,Flavius Frasincar +1 more
TL;DR: An in-depth overview of the current state-of-the-art of aspect-level sentiment analysis is given, showing the tremendous progress that has been made in finding both the target, which can be an entity as such, or some aspect of it, and the corresponding sentiment.
Journal ArticleDOI
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data
TL;DR: The first method presented is an unsupervised method that applies association rule mining on co-occurrence frequency data obtained from a corpus to find these aspect categories addressed in review sentences.
Journal ArticleDOI
Semantics-based information extraction for detecting economic events
TL;DR: The Semantics-Based Pipeline for Economic Event Detection (SPEED), focusing on extracting financial events from news articles and annotating these with meta-data at a speed that enables real-time use, is proposed.
Book ChapterDOI
Finding implicit features in consumer reviews for sentiment analysis
Kim Schouten,Flavius Frasincar +1 more
TL;DR: This research aims at finding the right implicit feature without this pre-knowledge in a sentence, by introducing a threshold parameter and filtering out potential features whose score is too low.
Proceedings ArticleDOI
A semantic web-based approach for personalizing news
Kim Schouten,Philip Ruijgrok,Jethro Borsje,Flavius Frasincar,Leonard Levering,Frederik Hogenboom +5 more
TL;DR: The focus of this paper is on how to keep the knowledge base up-to-date by elaborate on the updating phase that searches for key events in the news and extracts them using rules based on patterns and actions.