maxoodf / word2vecLinks
word2vec++ is a Distributed Representations of Words (word2vec) library and tools implementation, written in C++11 from the scratch
☆141Updated last year
Alternatives and similar repositories for word2vec
Users that are interested in word2vec are comparing it to the libraries listed below
Sorting:
- C++ implement of Tomas Mikolov's word/document embedding☆106Updated 7 years ago
- Library for fast text representation and extreme classification.☆151Updated 4 years ago
- Official repository of QuickRank: A C++ suite of Learning to Rank algorithms.☆131Updated 6 years ago
- Provides functions for hierarchical latent tree analysis on text data for hierarchical topic detection☆83Updated 4 years ago
- Code for Bursty Biterm Topic Model (published in AAAI2015)☆53Updated 6 years ago
- Code for Online Biterm Topic Model (published in TKDE2014)☆65Updated 10 years ago
- FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification☆148Updated last year
- Lightweight C++ translator for OpenNMT Torch models (deprecated)☆80Updated 5 years ago
- Citar part of speech tagger☆40Updated 9 years ago
- ☆103Updated 6 years ago
- C++ implementation of the Brown word clustering algorithm.☆429Updated last year
- Making sense embedding out of word embeddings using graph-based word sense induction☆213Updated 4 years ago
- Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)☆99Updated 8 years ago
- ☆196Updated 7 years ago
- C++ implementation of a part-of-speech (POS) tagger using the lookahead tagging algorithm.☆12Updated 6 years ago
- Convert word2vec vectors between binary and plain text format☆136Updated 5 years ago
- C++ wrapper library for the NLP library spaCy☆104Updated 2 years ago
- Parallelizing word2vec in shared and distributed memory☆190Updated 2 years ago
- WordRank: Learning Word Embeddings via Robust Ranking☆51Updated 7 years ago
- Topic Modeling for Short Texts with Auxiliary Word Embeddings☆73Updated 7 years ago
- A demo code for topical word embedding☆314Updated 7 years ago
- ☆266Updated 4 years ago
- An extension of word2vec to learn phrase embeddings☆75Updated 6 years ago
- This is a C implementation of variational EM for latent Dirichlet allocation (LDA), a topic model for text or other discrete data.☆167Updated 9 years ago
- Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015)☆178Updated 8 years ago
- ConText v4: Neural networks for text categorization☆122Updated 6 years ago
- Fast and customizable text tokenization library with BPE and SentencePiece support☆314Updated 3 months ago
- WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clus…☆83Updated 6 years ago
- Standalone Neural Ranking Model (SNRM)☆76Updated 6 years ago
- Semantic embeddings of entities☆66Updated 8 years ago