#doc2vec

"Sent2Vec: An unsupervised approach towards learning sentence embeddings" Comparison of #sent2vec, #doc2vec and #fasttext in Gensim by @messrs_puchu 🎯

What's better than super fast #word2vec #fasttext #doc2vec training? 6x faster training! 🔥🔥 Scaling up to more CPU cores, a #GSoC project by @dpersiyanov just merged into #Gensim:

See for yourself how #Doc2vec DM is different from #Doc2vec DBOW! Original paper's Wikipedia result in a py notebook

Excited to partner with @DataCamp! Expect new courses on practical embeddings (#fastText, #word2vec, #doc2vec) & unsupervised NLP w/ #gensim

I know contextual models like #BERT are supposed to be all the rage (since a while), but I just ran #doc2vec with a pretrained #fasttext model on a 10m word corpus of docs in a morphl complex lang *without lemmatizing it* and it took a minute & the results are like... really good

Read all about our recent work @ONS exploring the classification of businesses according to their economic activity using text data #unsupervised #clustering #doc2vec #datascience

📬 Mittels Stilometrie Vendoren von Darknet-Marktplätzen enttarnen #DarkCommerce #doc2vec #DreamMarket #Evolution #SilkRoad2 #Stilometrie #Valhalla

Visualise #gensim #doc2vec t-SNE/PCA in #tensorboard. Movie plot example code by RaRe Incubator student @parul1sethi

To achieve best-fit in #doc2vec: re-infer the training docs using the final model | tip from @gojomo

A serious bug in #doc2vec fixed, after 3 years :O New release will have faster convergence & better vectors. Huge thanks to Umang!

💡 Did you know Gensim introduced new file-based training mode for #fastText #word2vec #doc2vec in release 3.6.0? Jupyter tutorial:

NETL: automatically label topics using #word2vec and #doc2vec phrases, by @IBMResearch. code: paper:

#doc2vec on Japanese text. Tutorial with code.

Word2Vecの応用！文書をベクトル表現化するDoc2Vecについて紹介しました！ Doc2Vecの仕組みとgensimを使った文書類似度算出チュートリアル | DeepAge

In the next major release 4.0.0, we’ll drop the pure-Python implementations of #word2vec, #doc2vec etc. Fast Cython versions only. Don’t worry, we also provide binary pre-compiled wheels for all platforms to make this transition painless /im

At Tryolabs, our ultimate 'lab rat' is #doc2vec (Paragraph Vector). It all started with this @Google publishing:

Worthwhile discussions and great feedback on @c_schwemmer and my work on ‘Media Bias towards African-Americans before and after Charlottesville’ #doc2vec #wordembeddings #mediabias #eurocss

#Doc2vec works well on Japanese text after applying right tokenisation. Code and analysis.

New #gensim 2.1.0 release #Doc2Vec #Tensorboard visualisation plus minor improvements.

“A gentle introduction to #Doc2Vec” by @shgidi #word2vec #datascience

Exciting news! We've published new research on how make sense of unstructured threat intelligence data using #NLP. Read our summary on how we created a model using #Doc2Vec trained on @MITREattack and @usnistgov's NVD datasets