LDA with topicmodels, how can I see which topics different documents belong to?

Question

I am using LDA from the topicmodels package, and I have run it on about 30.000 documents, acquired 30 topics, and got the top 10 words for the topics, they look very good. B

Answer 1

ldaGibbs5 <- LDA(dtm,k,method="Gibbs")

#get topics
ldaGibbs5.topics <- as.matrix(topics(ldaGibbs5))
write.csv(ldaGibbs5.topics,file=paste("LDAGibbs",k,"DocsToTopics.csv"))

#get top 10 terms in each topic
ldaGibbs5.terms <- as.matrix(terms(ldaGibbs5,10))
write.csv(ldaGibbs5.terms,file=paste("LDAGibbs",k,"TopicsToTerms.csv"))

#get probability of each topic in each doc
topicProbabilities <- as.data.frame(ldaGibbs5@gamma)
write.csv(topicProbabilities,file=paste("LDAGibbs",k,"TopicProbabilities.csv"))