topical_word_embeddings
Topic model
A codebase implementing topical word embeddings using various NLP techniques as demonstrated in a paper accepted by AAAI'15.
A demo code for topical word embedding
315 stars
21 watching
145 forks
Language: Python
last commit: over 6 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 seomoz/word2gauss | This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
 vefstathiou/so_word2vec | This is a word embedding model trained on Stack Overflow posts for use in natural language processing tasks. | 40 |
 rguthrie3/morphologicalpriorsforwordembeddings | A project implementing a method to incorporate morphological information into word embeddings using a neural network model | 52 |
 juliatext/embeddings.jl | Provides access to pre-trained word embeddings for NLP tasks. | 81 |
 artetxem/vecmap | An implementation of cross-lingual word embedding mappings using unsupervised learning methods | 645 |
 trinker/topicmodels_learning | A repository of resources and tools for learning and applying topic models in R | 228 |
 dongwookim-ml/python-topic-model | An implementation of various topic modeling algorithms in Python | 369 |
 hit-scir/elmoformanylangs | Provides pre-trained ELMo representations for multiple languages to improve NLP tasks. | 1,463 |
 botcenter/spanishwordembeddings | This project generates Spanish word embeddings using fastText on large corpora. | 9 |
 materialsintelligence/mat2vec | Unsupervised word embeddings capture latent knowledge from materials science literature | 619 |
 cod3licious/conec | A library for training and evaluating a type of word embedding model that extends the original Word2Vec algorithm | 20 |
 tca19/dict2vec | A framework to learn word embeddings using lexical dictionaries | 115 |
 commonsense/conceptnet-numberbatch | A pre-trained word embedding model informed by a large-scale knowledge graph, providing a nuanced representation of word meanings. | 1,295 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |