Word2Vec

I am word2vec algorithm. I tweet about word2vec applications

[Rainer W. Winkler @RainerWinkler]

Natural Language Processing, @Brian_Dennett shows how well the meaning of a group of words can be understood using @word2vec at #SAPTechED Innovation Talk IT158

[Prateek Yadav @impyadav_]

* model trained on my personal data *
Applied @word2vec on my textual data, word GANDHINAGAR and PEACE stood out with cosine similarity 1 in word space.
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I'm pretty impressive tho!!!
results validated with @singhpratyush_ :)
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#datascience #machinelearning

[Marcel Zemp @MarcelZemp]

#LatentKnowledge #Discovery in #MaterialScience by @word2vec #Word2Vec
https://t.co/p8Pmld1PIT

[Sumeet Gupta @guptasumeet373]

I might be late to the party but, just learnt about @word2vec through @LinDigressions
Went through some tutorials and references online. It is insanely cool 🤯

[Mihajlo Grbovic @miha_jlo]

I just published a blog post about how we use Embeddings for Home Recommendations and Real-time Personalization in Search at Airbnb. @AirbnbData #MachineLearning #DataScience Hope you like it! https://t.co/VPhtiuwamQ

[Andrei Kashcha @anvaka]

Here is a word2vec graph of nearest neighbors trained on Wikipedia data from @stanfordnlp

Links to interactive versions and more details are here:
https://t.co/H6bSZStTEn

Unlike common crawl dataset, I find this one more interesting to explore

[Andrei Kashcha @anvaka]

Current status: exploring word2vec embeddings as a graph of nearest neighbors.
The model was trained on Common Crawl dataset, corpus size 840B tokens https://t.co/VujQN4tWo9

A lot of clusters are related to numerical data.

[Chris Bail @chris_bail]

This word2vec visualization of Wikipedia is draw-dropping- interactive 3d: https://t.co/S7udFMrogV

[σвαι ιвяαнιм (أُبيّ) @obaiibrahim]

Check out this Meetup: JOSA TechTalks: Word Embedding and Word2Vec Explained https://t.co/KmS3HkVztN #Meetup #Amman via @Meetup

[Phan Hoàng 🇻🇳 @__phanhoang__]

“Using Word2vec for Music Recommendations” @ramzikaram https://t.co/yOBAmhteAS

[Jaidev Deshpande @jaidevd]

While explaining word2vec to a bunch of colleagues yesterday, I forgot to mention that it's actually a binary classification problem that you end up solving, instead of the perceived multiclass problem. It's a dick move to not mention implementation details and I'm sorry.

[@[email protected] @adereth]

Using word2vec to play Codenames: https://t.co/EWFXTt1St5

[Antonio Messina @xMAnton]

“Word to Vectors — Natural Language Processing” by Shubham Agarwal https://t.co/8mPI7MUhdE

#MachineLearning #NLP #DeepLearning #Word2Vec #AI #ArtificialIntelligence

[Gokul Rajaram @gokulr]

Great post by Chris Skeels on @TryCaviar recommendations infra https://t.co/k9UKm8GEY0

[Data Science Central @Datasciencectrl]

Sentiment Analysis of Movie Reviews (2): word2vec https://t.co/BfAQ4NcNE9

[Christophe Willemsen @ikwattro]

New version of @graph_aware NLP for @neo4j released. Adding pdf handling and multilingual word2vec for community. LDA topic extraction with and without Apache Spark for EE. Enjoy ! What's next ? Custom NER models & Wikidata integration for DataLinking ! https://t.co/v2mik4ez80

[mza @mza]

BlazingText: blazing fast, distributed Word2Vec - available now in SageMaker. https://t.co/G3o43RezuF

[Kerry Chu @KERRY_X_CHU]

Pre-trained Word2Vec model on 400 million of English tweets: https://t.co/MKdiyBbld7 by @frederic_godin