0.12.5, 2016
Tutorials migrated from website to ipynb (@j9chan, #721), (@jesford, #733, #725, 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 coloring.
Made normalization an explicit transformation. Added 'l1' norm support (@sQuareindia, #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)
Added Distance Metrics to matutils.pt (@bhargavvader, #656)