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On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online
Jey Han Lau
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Nigel Collier
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Timothy Baldwin
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Paper Details:
Month: December
Year: 2012
Location: Mumbai, India
Venue:
COLING |
Citations
URL
Real-time Change Point Detection using On-line Topic Models
Yunli Wang
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Cyril Goutte
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Online topic model for Twitter considering dynamics of user interests and topic trends
Kentaro Sasaki
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Tomohiro Yoshikawa
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Takeshi Furuhashi
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Never Abandon Minorities: Exhaustive Extraction of Bursty Phrases on Microblogs Using Set Cover Problem
Masumi Shirakawa
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Takahiro Hara
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Takuya Maekawa
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One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Spandana Gella
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Paul Cook
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Timothy Baldwin
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Modeling and Characterizing Social Media Topics Using the Gamma Distribution
Connie Yee
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Nathan Keane
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Liang Zhou
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Japanese Text Normalization with Encoder-Decoder Model
Taishi Ikeda
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Hiroyuki Shindo
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Yuji Matsumoto
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Finding Rising and Falling Words
Erik Tjong Kim Sang
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Twitter Topic Modeling by Tweet Aggregation
Asbjørn Steinskog
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Jonas Therkelsen
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Björn Gambäck
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http://www.twitter.com/
http://trendsmap.com/
http://whatthetrend.com/
http://www.twinitor.com/
http://twendr.com/
http://webtrends.about.com/od/twitter/a/why_twitter_uses_for_twitter.htm
http://projects.ldc.upenn.edu/TDT3/
https://dev.twitter.com/docs/streaming-api/
http://www.csse.unimelb.edu.au/~tim/etc/online_lda.zip
Field Of Study
Task
Tagging
Event Detection
Social Science
Approach
Generative Model
Language
Chinese
Korean
Dataset
News
Twitter
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