word-embedding Examples and Free Source Code

Better way to combine Word embedding to get embedding of a sentence...

deep-learning nlp text-processing word-embedding

fasttext: why do aligned vectors contain only one value per word?...

nlp word-embedding fasttext

"`select()` doesn't handle lists" when computing textSimilarity between two word embed...

r nlp word-embedding r-text

Can we deduce the relationship b/w a dimension of a word vector with the linguistic characteristic i...

nlp stanford-nlp word2vec word-embedding

Predict numeric variable from a text variable using word embeddings in R...

r nlp word-embedding r-text

Ensure the gensim generate the same Word2Vec model for different runs on the same data...

python random gensim word2vec word-embedding

pytorch loading pretrained weights from json file...

pytorch word-embedding

how to replace keras embedding with pre-trained word embedding to CNN...

tensorflow keras deep-learning word-embedding

word2vec/gensim — RuntimeError: you must first build vocabulary before training the model...

python gensim word2vec word-embedding

Using pre-trained word embeddings - how to create vector for unknown / OOV Token?...

neural-network deep-learning nlp pytorch word-embedding

Combine similar elements in N*N matrix without duplicates...

python nlp word-embedding sentence-similarity

Keras Semantic Similarity model from pre-trained embeddings...

keras neural-network word2vec similarity word-embedding

Can I use a different corpus for fasttext build_vocab than train in Gensim Fasttext?...

python nlp gensim word-embedding fasttext

How does word2vec learn word relations?...

word2vec embedding word-embedding

Speed up embedding of 2M sentences with RoBERTa...

python nlp word-embedding transformer-model

TensorFlow word embedding model + LDA Negative values in data passed to LatentDirichletAllocation.fi...

tensorflow scikit-learn lda word-embedding topic-modeling

When applying word2vec, should I standardize the cosine values within each year, when comparing them...

word2vec word-embedding cosine-similarity

Convert grouped data in dataframe to documents in preparation for word2vec...

r tidyverse word2vec word-embedding

Understanding results of word2vec gensim for finding substitutes...

python gensim word2vec word-embedding recommendation-engine

Use word2vec to expand a glossary in order to classify texts...

python nlp gensim word2vec word-embedding

calculate similarity between one given word and a RANDOM list of words...

python nlp spacy similarity word-embedding

Is there a faster way to convert sentences to TFHUB embeddings?...

deep-learning nlp bert-language-model word-embedding tensorflow-hub

CBOW v.s. skip-gram: why invert context and target words?...

nlp tensorflow deep-learning word2vec word-embedding

Fasttext model representations for numbers...

python word-embedding fasttext

Gensim train not updating weights...

python stanford-nlp gensim word2vec word-embedding

Use pretrained embedding in Spanish with Torchtext...

nlp deep-learning pytorch word-embedding torchtext

Incomplete word embedding model conversion with plasticityai/magnitude...

python sqlite word-embedding file-conversion

rare misspelled words messes my fastText/Word-Embedding Classfiers...

python gensim sentiment-analysis word-embedding

Gensim doc2vec's d2v.wv.most_similar() gives not relevant words with high similarity scores...

nlp gensim word2vec word-embedding doc2vec

Load fasttext quantized model (.ftz), and look up words...

python gensim word-embedding fasttext