Research Topics

I'm a computational linguist with a research focus on web marketing and social media monitoring. More precisely, I am working on sentiment analysis and opinion mining. Lately I did fine-grained classification of product reviews, now heading towards getting positions from political texts. A good reason why it is important to understand the content of product reviews while analyzing them can be found here (btw, this guy has a strong opinion on computational linguistics ;) ).

However, I am also interested in applications of stylometry, like predicting age, gender or personality of an author from his texts.

Besides NLP, I like the CCC, lock picking and Club Mate!

Topics for diploma / bachelor theses

Current suggestions for bachelor theses (BA) and diploma theses (DA) are listed below. If you have own ideas, feel free to contact me.

(DA) Information extraction from Wikipedia and unstructured text corpora
(DA / BA) Sentiment analysis on product reviews using networked data (NetKit)
(DA) Sentiment analysis: recognizing sensitive content of newspaper articles or blog posts

Publications

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	Contributions to Conferences:


1.	Cäcilia Zirn, Mathias Niepert, Heiner Stuckenschmidt and Michael Strube. Fine-Grained Sentiment Analysis with Structural Features. IJCNLP, 2011, (Best Paper Award).


2.	Vivi Nastase, Michael Strube, Benjamin Börschinger, Cäcilia Zirn and Anas Elghafari. WikiNet: A very large scale multi-lingual concept network. Proceedings of the 7th International Conference on Language Resources and Evaluation, 2010.


3.	Cäcilia Zirn, Vivi Nastase and Michael Strube. Distinguishing between Instances and Classes in the Wikipedia Taxonomy. Proceedings of the 5th European Semantic Web Conference, 2008, 376-387.

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