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Projects in Awesome Lists tagged with word2vec-model
A curated list of projects in awesome lists tagged with word2vec-model .
https://github.com/piskvorky/gensim-data
Data repository for pretrained NLP models and NLP corpora.
corpora dataset gensim glove-model lda-model lsi-model pretrained-models word2vec-model
Last synced: 03 Aug 2024
https://github.com/oborchers/Fast_Sentence_Embeddings
Compute Sentence Embeddings Fast!
cython document-similarity embeddings fasttext fse gensim gensim-model maxpooling sentence-embeddings sentence-representation sentence-similarity sif swem usif word2vec-model wordembedding
Last synced: 02 Aug 2024
https://github.com/iamaziz/ar-embeddings
Sentiment Analysis for Arabic Text (tweets, reviews, and standard Arabic) using word2vec
arabic arabic-embedding arabic-nlp arabic-sentiment embeddings sentiment-analysis word2vec word2vec-model
Last synced: 03 Aug 2024
https://github.com/coosto/dutch-word-embeddings
Dutch word embeddings, trained on a large collection of Dutch social media messages and news/blog/forum posts.
coosto dutch nlp word2vec word2vec-model wordembeddings
Last synced: 03 Aug 2024
https://github.com/benedekrozemberczki/FSCNMF
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
analytics artifical-intelligence data-mining data-science deepwalk embedding factorization-machine fscnmf graph-embedding graph2vec information-network machine-learning network-embedding nmf node-embedding node2vec pca regularization word2vec word2vec-model
Last synced: 01 Aug 2024
https://github.com/gtesei/deepexperiments
TensorFlow/Keras experiments on computer vision and natural language processing
alexnet autoencoders computer-vision convolution convolutional-neural-networks deep-learning dropout generative-adversarial-network keras keras-neural-networks mnist natural-language-processing neural-networks regularization tensorflow tensorflow-experiments tensorflow-tutorials word2vec word2vec-model
Last synced: 26 Sep 2024
https://github.com/kush1912/fake-news-detection
Machine learning Based Minor Project, which uses various classification Algorithms to classify the news into FAKE/REAL, on the basis of their Title and Body-Content. Data has been collected from 3 different sources and uses algorithms like Random Forest, SVM, Wordtovec and Logistic Regression. It gave 94% accuracy.
classification-algorithm fake guardian ipynb logistic-regression machine-learning-algorithms nyt random-forest scrap-data svm webscraping word2vec-model xgboost-algorithm
Last synced: 27 Sep 2024
