Can I get topics distribution of a word in LDA?
Gensim's LDA mallet wrapper has a load_word_topics() function (I would assume this is true for its python LDA implementation as well).  It returns a matrix that is words X topics.  From that, you can get a vector of frequencies each word in each topic.  That would be the topic-word distribution for a given word.
I'm new to LDA and I want to calculate the topic similarity between words. Can I get the topic distribution of a word? If so, how can I do this in gensim.ldamodel?