CHANGES IN doc2vec VERSION 0.2.2

• Fix DOI in DESCRIPTION
• Remove C++11 from Makevars

CHANGES IN doc2vec VERSION 0.2.1

• 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