Abstract
In this paper, we proposed a Temporal-Author-Recipient-Topic (TART) model which can simultaneously combine authors’ and recipients’ interests and temporal dynamics of social network. TART model can discover topics related authors and recipients for different time periods and show how authors and recipients interests are changed over time. All parts of model are integrated on social network analysis system based on topic modeling. The model is experimented on the collection of Vietnamese texts from a student forum containing: 13,208 messages of 2,494 users. The system finds out many useful authors’ and recipients’ interests in particular topics over time and opened new research and application directions.
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Ho, T., Do, P. (2015). Analyzing Users’ Interests with the Temporal Factor Based on Topic Modeling. In: Nguyen, N., Trawiński, B., Kosala, R. (eds) Intelligent Information and Database Systems. ACIIDS 2015. Lecture Notes in Computer Science(), vol 9012. Springer, Cham. https://doi.org/10.1007/978-3-319-15705-4_11
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DOI: https://doi.org/10.1007/978-3-319-15705-4_11
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