K.I.M. (Kars Iddo Maik) Schouten

Erasmus School of Economics
Erasmus University Rotterdam
ERIM Doctoral Student
Field: Logistics & Information Systems
Affiliated since 2012

PhD Project

Time-Based Aspect-Level Sentiment Analysis (TALSA)

With opinions and expressions of sentiment available in abundance on the Web, algorithms that can deal with this kind of subjective information abound. While several approaches exist that perform aspectlevel sentiment analysis, which associates the expressed sentiment to aspects and entities instead of linguistic constructs like sentences or documents, the temporal dimension is still lacking. By incorporating the temporal aspect of sentiment, we can correctly aggregate sentiment expressed at varying points in time and perform trend analysis by looking at how sentiment changes over time. The main goal is to gather sentiment information from the Web and aggregate it into knowledge that is useful for business applications such as product marketing, product comparison, or reputation management of a company, brand, or person. Our hypothesis is that an incremental, online machine learning model is particularly well suited to capture these temporal elements in addition to performing aspect-level sentiment analysis as defined in the current literature.

Keywords
text mining; linguistic processing; machine learning; text analysis; sentiment analysis; aspects; temporal dimension
Time frame
2012 -

Address

Visiting address

Office: Tinbergen Building H09-09
Burgemeester Oudlaan 50
3062 PA Rotterdam

Postal address

Postbus 1738
3000 DR Rotterdam
Netherlands

Latest publication

D. de Heij, A. Troyanovsky, C. Yang, M. Zychlinsky Scharff, Kim Schouten & F. Frasincar (2017). An Ontology-Enhanced Hybrid Approach to Aspect-Based Sentiment Analysis. In 8th International Conference on Web Information Systems Engineering (WISE 2017) (Lecture Notes in Computer Science, 0302-9743) (pp. 338-345). Switzerland: Springer

Supervisory team

Kars Iddo Maik Schouten
Professor of Econometrics (Operations Research and Informatics)
Promotor
Kars Iddo Maik Schouten
Franciska de Jong
Promotor
Kars Iddo Maik Schouten
Daily supervisor