3 ms·
Have you considered using PLSA (Probabilistic latent semantic analysis)? Effectively, this method does very similiar thing as you aim to do - it chooses a set o
by calmhead 11y ago
Have you considered using PLSA (Probabilistic latent semantic analysis)? Effectively, this method does very similiar thing as you aim to do - it chooses a set of words that represen a topic of a document.
- jisaacso 11y agoGreat suggestion. We've used LDA for topic modeling in the past. I'm a big fan of running word2vec and clustering.
- bglazer 11y ago> I'm a big fan of running word2vec and clustering. Can you explain more about this?
- jisaacso 11y agoOpentable gave a great presentation on this not too long ago, check it out http://www.slideshare.net/SudeepDasPhD/recsys-2015-making-meaningful-restaurant-recommendations-at-opentable http://www.slideshare.net/SudeepDasPhD/recsys-2015-making-me...