Abstract | ||
---|---|---|
We present a time series analysis employing natural language processing (NLP) techniques, and show the effect of N-gram over Context (NOC), that is a one of topic models that enjoy success in NLP, in this analysis.
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Year | DOI | Venue |
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2016 | 10.1145/2872518.2889396 | WWW '16: 25th International World Wide Web Conference
Montréal
Québec
Canada
April, 2016 |
Field | DocType | ISBN |
Time series,Computer science,Natural language processing,Artificial intelligence,Topic model | Conference | 978-1-4503-4144-8 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
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Noriaki Kawamae | 1 | 119 | 10.96 |