@conference{Pontiki-HCI14,
author = "Pontiki, Maria and Papageorgiou, Harris",
abstract = "In this paper we present a method for the automatic detection of user-stated intentions in terms of desires, purposes and commitments as specific insights deriving from the semantics of the intention expressions. The method is based on a linguistic data-driven and domain-independent framework for textual intention analysis and achieves substantial levels of accuracy in detecting future intention expressions and their structural components. Furthermore, we demonstrate several usage scenarios in the business intelligence context showing that the introduced insights can be interpreted from various perspectives and serve as variables in predictive or decision making models in any domain of interest.",
booktitle = "HCI in Business First International Conference, HCIB 2014, Held as Part of HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014. Proceedings",
doi = "10.1007/978-3-319-07293-7_23",
editor = "Fiona Fui-Hoon Nah ",
isbn = "978-3-319-07292-0",
keywords = "Social Media, Text Analytics, Intention Analysis, Future Intention, Desire, Purpose, Commitment",
number = "8527",
pages = " 233-244",
publisher = "Springer International Publishing",
series = "Lecture Notes in Computer Science",
title = "“There's no way {I} would ever buy any mp3 player with a measly 4gb of storage” ",
url = "http://link.springer.com/chapter/10.1007%2F978-3-319-07293-7_23",
year = "2014",
}