Text Analytics Toolbox Model for fastText English 16 Billion Token Word Embedding

Pre-trained English Word Embedding Model for Machine Learning and Deep Learning with Text
996 Downloads
Updated 11 Dec 2024
This Add-on provides a pre-trained word embedding and sentence classification model using FastText for use in machine learning and deep learning algorithms. FastText is an open-source library which provides efficient and scalable libraries for text analytics. For more information on the pre-trained word vector model see https://fasttext.cc/docs/en/english-vectors.html
Usage Example:
% Load the trained model
emb = fastTextWordEmbedding;
% Find the top 10 closest words to “impedance” according to this word embedding
impedanceVec = word2vec(emb,"impedance");
vec2word(emb, impedanceVec,10)
ans =
10×1 string array
"impedance"
"impedances"
"capacitance"
"Impedance"
"resistor"
"impedence"
"inductance"
"voltage"
"S-parameters"
"ohms"
MATLAB Release Compatibility
Created with R2018a
Compatible with R2018a to R2025a
Platform Compatibility
Windows macOS (Apple silicon) macOS (Intel) Linux
Categories
Find more on Deep Learning Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!