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Lda2vec: Tools for interpreting natural language
- brudgers 11y agoRecent: https://news.ycombinator.com/item?id=10919744 https://news.ycombinator.com/item?id=10919744
- haddr 11y agoVery cool indeed. I wonder if it permits incremental model generation, so that i could be usable for classifying new data and new topics?
- wyldfire 11y agoHow does lda2vec compare with sense2vec [1]? [1] http://arxiv.org/abs/1511.06388 http://arxiv.org/abs/1511.06388
- alex_hirner 11y agosense2vec tags tokens with information from syntactic parsing and by that offers finer grained meaning on the word level. Here is a good implementation btw: https://spacy.io/blog/sense2vec-with-spacy https://spacy.io/blog/sense2vec-with-spacy lda2vec has a different goal, namely classifying utterances with features on the sentence/document level. Thus it is to my understanding doc2vec with regularization for enhanced interpretability.