An architecture for parallel topic models
Proceedings of the VLDB Endowment
Predicting responses to microblog posts
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
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This paper performs an initial exploration of business Twitter accounts in order to start understanding how businesses interact with their users and viceversa. We provide an analysis of business tweet types and topics and show that specific business tweet classes such as deals and events can be reliably identified for customer use.