Dai, Y., Kakkonen, T., Sutinen, E.: SoMEST - a Model for Detecting Competitive Intelligence from Social Media. Proceedings of the 15th MindTrek Conference, Tampere, Finland, 2011.
In the paper, the authors integrate a competitive intelligence analysis method, event timeline analysis, with natural language processing technologies (sentiment analysis, entity and event extraction) and information visualization. The intergration results in a novel social media analysis model, SoMEST. The paper demonstrates the use of the model with a practical example.
Kakkonen, T., Galić Kakkonen, G.: SentiProfiler: Creating Comparable Visual Profiles of Sentimental Content in Texts. Proceedings of the Language Technologies for Digital Humanities and Cultural Heritage Workshop associated with the RANLP 2011 Conference, Hissar, Bulgaria.
The paper present the SentiProfiler system for creat-ing sentiment profiles, representations of emotional content in texts and demonstrate the practical applicability of the system in literary research by describing its use in analyzing novels in the Gothic fiction genre. 
Munezero, M., Kakkonen, T., Montero, C.: Towards Automatic Detection of Antisocial Behavior from Texts. Proceedings of the 5th International Joint Conference on Natural Language Processing, Chiang Mai, Thailand, 2011.
The paper presents an antisocial behavior detection model for potraying the emotions pertaining to antisocial behavior. In addition, the paper outlines a design for an antsocial behavior detection system based on the outlined model.