How to implement Sentiment Analysis using word embedding and Convolutional Neural Networks on Keras.

Keras

How to represent the words

This comes from the deck of slides: http://www.slideshare.net/ChristopherMoody3/word2vec-lda-and-introducing-a-new-hybrid-algorithm-lda2vec-57135994
king - man + women = queen

The model

Results

Cumulative loss (Training set)
Accuracy (Training set)

--

--

--

The easiest way to deploy Keras and Scikit: https://inferrd.com

Love podcasts or audiobooks? Learn on the go with our new app.

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
Théo Szymkowiak

Théo Szymkowiak

The easiest way to deploy Keras and Scikit: https://inferrd.com

More from Medium

The Evolution Of Natural Language Processing (NLP)

Multi-Label Text Classification Using Keras

The Theory Behind Naive Bayes | NLP Python Classification Example

Topic modeling using Latent Dirichlet Allocation