Implicit feature detection is a promising research direction that has not seen much research yet. Based on previous work, where co-occurrences between notional words and ex- plicit features are used to find implicit features, this research critically reviews its underlying assumptions and proposes a revised algorithm, that directly uses the co-occurrences be- Tween implicit features and notional words. The revision is shown to perform better than the original method, but both methods are shown to fail in a more realistic scenario.,
23rd International Conference on World Wide Web, WWW 2014
Erasmus University Rotterdam

Schouten, K., & Frasincar, F. (2014). Implicit feature detection for sentiment analysis. In WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web (pp. 367–368). doi:10.1145/2567948.2577378