Make sure words are only 100 characters when getting embeddings of
documents (issue #20)
Limit documents to 1000 words by explicitely keeping only the first
1000 words per document + provide warning if doc_id contains spaces
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 ‘be_parliament_2020’ 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