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derekgreene / dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization
Apache License 2.0
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results of track-dynamic-topics.py #12

Open wjmzjx opened 4 years ago

wjmzjx commented 4 years ago

In the results of track-dynamic-topics.py, as shown in - Dynamic Topic: D01, there are 3 topics in window 3. I am confused. The result means we got 3 topics in a time window? how to get the topic evolution? I mean, how to know which topic in window 2 changes to topics in window 3, if we get more than 2 topics in window 2.

wjmzjx commented 4 years ago

I think I know this answer. What the authors mentioned in their paper is not a classical topic evolution, but a way to track the evolution of a dynamic topic. According to the evolution, we can obtain the relationship between a dynamic topic and window topics instead of how a dynamic topic changes over time.