文件名称：lda2vec ppt
文件大小：11.87MB
文件格式：RAR
更新时间：2022-08-15 11:22:18
nlp
The lda2vec model tries to mix the best parts of word2vec and LDA into a single framework. word2vec captures powerful relationships between words, but the resulting vectors are largely uninterpretable and don't represent documents. LDA on the other hand is quite interpretable by humans, but doesn't model local word relationships like word2vec. We build a model that builds both word and document topics, makes them interpreable, makes topics over clients, times, and documents, and makes them supervised topics.
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word2vec, LDA, and introducing a new hybrid algorithm - lda2vec.pdf