Segments Mizuki Oka Hirotake Abe CREST, Japan...  Home/Search
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Abstract: In this paper, we present an approach to extracting topics from weblogs by using terms that appear in them. We model a term in terms of frequency segments, i.e., sequential occurrences of the term over time, as the unit of characterization. A notable feature of the model is its approximation of changes in the dynamics of term frequencies; it captures the granularity of frequencies from the very beginning of their occurrence. This approximation also makes a comparison of frequency patterns of... (Update)
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BibTeX entry: (Update)
@misc{ oka-extracting,
author = "Segments Mizuki Oka",
title = "Extracting Topics From Weblogs Through Frequency",
url = "citeseer.ist.psu.edu/760517.html" }
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