My research is centered around textual sentiment analysis.
In a computational context, sentiment (cf. emotion, affect, tone, opinion, private state, speculation, evaluation, appraisal, attitude, attitudinal meaning, bias, colouring, connotation, slanting, stance, amongst others) refers to the enormously rich subjective metacontent that lies beyond the purely objective (or factual, logical, neutral) dimensions of language.
Linguistics. The primary linguistic focus of my research is on
* fine-grained sentiment expressions at the word, entity, phrase, and sentence levels
* sentiment with respect to lexical semantics, morphology, grammar, and compositional semantics
* affective commonsense
Computational Linguistics / Natural Language Processing. Computationally, I aim at combining the above with
* deep parsing
* phrase chunking
* Named Entity Recognition
* Word Sense Disambiguation
Moilanen, Karo and Pulman, Stephen. (2008). The Good, the Bad, and the Unknown: Morphosyllabic Sentiment Tagging of Unseen Words. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL 2008), Short Papers. June 15-20, Columbus, Ohio. pp. 109-112.
Moilanen, Karo and Pulman, Stephen. (2007). Sentiment Composition. In Proceedings of Recent Advances in Natural Language Processing (RANLP 2007). September 27-29, Borovets, Bulgaria, pp. 378-382.
