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n |
Topic = keyword
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n |
Need to track
relevant words w.r.t. time
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¡ |
tf cidf (cumulative
idf); corpus is a moving window
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n |
Find three
distributions of topics
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Chatter: topics
continuously discussed (e.g., alzheimers)
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Spike: topic
exhibiting a usage spike, then inactivity (e.g.,
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chibi)
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Spiky Chatter:
Topics (e.g., microsoft)
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n |
Overlay of above
two types (multiple spikes possible)
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Spike removal
possible with spike model
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