sense2vec
Word vector generator
A Python library that generates contextually-keyed word vectors from text data using a variation of the Word2Vec algorithm.
🦆 Contextually-keyed word vectors
2k stars
50 watching
240 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
gensimgensim-word2vecmachine-learningnatural-language-processingnlppythonsense2vecspacyword2vec
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for learning vector representations of words and entities from Wikipedia text data. | 946 |
| A tool for training word vectors using distributed neural network architectures | 1,525 |
| Provides pre-trained word vectors for multiple languages to facilitate NLP tasks | 2,216 |
| A framework to learn word embeddings using lexical dictionaries | 115 |
| This project provides code and corpora for creating word embeddings by considering the visual characteristics of words. | 15 |
| A tool to measure the quality of word vectors based on their correlation with manually crafted lexical resources | 75 |
| A repository providing pre-built non-distributional word vector representations for NLP tasks | 62 |
| A repository hosting pre-trained word vector model (3 million 300-dimension English word vectors) from the Google News corpus. | 519 |
| A PyTorch implementation of a model for generating dense vector representations of paragraphs from text data. | 413 |
| A Scala implementation of the word2vec model representation. | 11 |
| An R package for building and exploring word embedding models | 282 |
| A package for reading and analyzing word embeddings from the word2vec format in Go. | 56 |
| This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
| Learning word embeddings from abstract images to improve language understanding | 19 |
| Unsupervised word embeddings capture latent knowledge from materials science literature | 624 |