Discovering Author Interest Evolution in Topic Modeling

SIGIR, pp. 801-804, 2016.

Cited by: 14|Bibtex|Views49|DOI:https://doi.org/10.1145/2911451.2914723
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Discovering the author's interest over time from documents has important applications in recommendation systems, authorship identification and opinion extraction. In this paper, we propose an interest drift model (IDM), which monitors the evolution of author interests in time-stamped documents. The model further uses the discovered author...More

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