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NEWS
CHANGES IN doc2vec VERSION 0.2.0
- Add top2vec semantic clustering algorithm
- Allow transfer learning in paragraph2vec by passing on a pretrained set of word vectors to initialise the word embeddings with (no initialisation of the document embeddings)
- In paragraph2vec: close opened files directly after training instead of waiting for R garbage collection to kick in
- Added dataset âbe_parliament_2020â with questions asked by members in the Belgium Federal parliament in 2020
CHANGES IN doc2vec VERSION 0.1.1
- Fixes for valgrind R CMD checks
- Fixes for destructors of Vocabulary
- Remove WMD
- Added txt_count_words and removed Suggests dependency of udpipe
CHANGES IN doc2vec VERSION 0.1.0
- Initial package based on https://github.com/hiyijian/doc2vec commit dec123e891f17ea664053ee7575b0e5e7dae4fca
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