Changes in version 0.2.2 (2025-11-27)                  

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

                        Changes in 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 version 0.2.0 (2021-03-27)                  

  - 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 version 0.1.1 (2021-01-21)                  

  - 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 version 0.1.0 (2020-12-10)                  

  - Initial package based on https://github.com/hiyijian/doc2vec commit
    dec123e891f17ea664053ee7575b0e5e7dae4fca