@inproceedings{0aace5ec4dcf4a08bea13557374e5d07,
title = "Towards an NLP-based topic characterization of social relations",
abstract = "The unstructured text content of online communication artifacts is a salient source of information about social relationships. We investigate the utility of keywords extracted from the message body as a representation of the relationship's characteristics, which are reflected by the conversation topics to a certain extent. Keyword extraction is performed using standard natural language processing methods. Communication data and human assessments of the extracted keywords are obtained from Facebook users via a custom application. The overall positive quality assessment provides evidence that the keywords indeed convey relevant information about the relationship. This kind of representation may be of value for various computational tasks from the domain of social computing.",
keywords = "NLP, keyword extraction, social networks, social relations",
author = "Jan Hauffa and Tobias Lichtenberg and Georg Groh",
year = "2012",
doi = "10.1109/SocialInformatics.2012.80",
language = "English",
isbn = "9780769550152",
series = "Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012",
publisher = "IEEE Computer Society",
pages = "289--294",
booktitle = "Proceedings of the 2012 ASE International Conference on Social Informatics, SocialInformatics 2012",
note = "2012 ASE International Conference on Social Informatics, SocialInformatics 2012 ; Conference date: 14-12-2012 Through 16-12-2012",
}