Analytics Vidhya
Published in

Analytics Vidhya

An Application of word2vec model

Implementing OddOneOut Algorithm

Photo by Manish Chablani from his article published in towardsdatascience

Word2Vec is one of the most popular techniques to learn word embeddings using a shallow neural network. Tomas Mikolov developed it in 2013 at Google. For the algorithm Odd One Out that we will implement soon, we will use the Google pre-trained model: ‘Googlenews-vectors-negative300.bin’, which can be downloaded from here. This model can be loaded using…

--

--

--

Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com

Recommended from Medium

The Two Types of Machine Learning

How to Perform Machine Learning Research in a Fast Paced Environment - Post 2/2

Night 1: Machine Learning

Understanding AdaBoost

Image result for boosting

Vector Embeddings Visualization in Tensorboard

SpaceX launch

Active Learning for Unstructured Data, A CRISP-DM Template

Practical Machine Learning with Python and Keras

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Shivam Verma

Shivam Verma

Computer Science Undergraduate @IIITD

More from Medium

2019537 — Data Mining Final

Beginners Guide to Classification Models (Catch Credit Card Fraud)

End-to-End Attention-Based Machine Translation Model with Minimum Tensorflow Code

Implementing TFIDF from scratch.