* Added Distance Metrics to matutils.pt (bhargavvader, 656)
* Tutorials migrated from website to ipynb (j9chan, 721), (jesford, 733), (jesford, 725), (jesford, 716)
* New doc2vec intro tutorial (seanlaw, 730)
* Gensim Quick Start Tutorial (andrewjlm, 727)
* Add export_phrases(sentences) to model Phrases (hanabi1224 588)
* SparseMatrixSimilarity returns a sparse matrix if `maintain_sparsity` is True (davechallis, 590)
* added functionality for Topics of Words in document - i.e, dynamic topics. (bhargavvader, 704)
- also included tutorial which explains new functionalities, and document word-topic colring.
* Made normalization an explicit transformation. Added 'l1' norm support (dsquareindia, 649)
* added term-topics API for most probable topic for word in vocab. (bhargavvader, 706)
* build_vocab takes progress_per parameter for smaller output (zer0n, 624)
* Control whether to use lowercase for computing word2vec accuracy. (alantian, 607)
* Easy import of GloVe vectors using Gensim (Manas Ranjan Kar, 625)
- Allow easy port of GloVe vectors into Gensim
- Standalone script with command line arguments, compatible with Python>=2.6
- Usage: python -m gensim.scripts.glove2word2vec -i glove_vectors.txt -o output_word2vec_compatible.txt
* Add `similar_by_word()` and `similar_by_vector()` to word2vec (isohyt, 381)
* Convenience method for similarity of two out of training sentences to doc2vec (ellolo, 707)
* Dynamic Topic Modelling Tutorial updated with Dynamic Influence Model (bhargavvader, 689)
* Added function to filter 'n' most frequent words from the dictionary (abhinavchawla, 718)
* Raise warnings if vocab is single character elements and if alpha is increased in word2vec/doc2vec (dsquareindia, 705)
* Tests for wikidump (jonmcoe, 723)
* Mallet wrapper sparse format support (RishabGoel, 664)
* Doc2vec pre-processing script translated from bash to Python (andrewjlm, 720)