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
1,1K Descargas
Actualizado
15 oct 2025
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"
Compatibilidad con la versión de MATLAB
Se creó con
R2018a
Compatible con cualquier versión desde R2018a hasta R2026a
Compatibilidad con las plataformas
Windows macOS (Apple Silicon) macOS (Intel) LinuxCategorías
Más información sobre Deep Learning Toolbox en Help Center y MATLAB Answers.
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