About seed words information

[bohyunshin]

If I understand the algorithm correctly, does the algorithm use seed words information for initialization only?

In _fit function, before iterating algorithm, we do the initialization where we assign topics to the words according to the belonging to seed words. Below is the line I just mentioned

GuidedLDA/guidedlda/guidedlda.py

Line 241 in 6ddfbe4

self._initialize(X, seed_topics, seed_confidence)

However, I noticed that there is this one step that uses the seed words. After this initialization, while iterating, the algorithm do the classic collapsed Gibbs sampling. Is my understanding correct? If it is correct, why seed words are not used while iterating?

Thank you in advance