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

作者: MathWorks Text Analytics Toolbox Team
Pre-trained English Word Embedding Model for Machine Learning and Deep Learning with Text
4.0
(5)
1.1K 次下载
更新时间 2025/9/17
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 版本兼容性
创建方式 R2018a
兼容 R2018a 到 R2025b 的版本
平台兼容性
Windows macOS (Apple 芯片) macOS (Intel) Linux
类别
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