Despite the clear inter-dependency between analyzing the interactions in social networks, and analyzing the natural language content of these interactions, these aspects are typically studied independently. In this paper we present a first step towards finding a joint representation, by embedding the two aspects into a single vector space. We show that the new representation can help improve performance in two social relations prediction tasks.
CITATION STYLE
Lai, Y. Y., Li, C., Goldwasser, D., & Neville, J. (2016). Better together: Combining language and social interactions into a shared representation. In Proceedings of TextGraphs@NAACL-HLT 2016: The 10th Workshop on Graph-Based Methods for Natural Language Processing (pp. 29–33). The Association for Computer Linguistics. https://doi.org/10.18653/v1/w16-1405
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