关于Deeplearning4j库中Word2Vec的默认词汇表大小咨询

Hey there! Let's break down your question about the default vocabulary size in DL4J's Word2Vec component.

When you don't explicitly call limitVocabularySize() on your Word2Vec instance, there is no fixed upper limit to the vocabulary size. Instead, the vocabulary will include every word from your training data that meets the default minimum word frequency threshold.

Key Details: #

• The default minimum word frequency for inclusion in the vocabulary is 5 (you can adjust this with the minWordFrequency() method in the Builder).
• So, all words that appear 5 or more times in your training corpus will be added to the vocabulary—no hard cap, unless you set one with limitVocabularySize().

Quick Recap of Your Code Examples #

Here's your model build code formatted for clarity:

//构建Word2Vec模型
Word2Vec vec = new Word2Vec.Builder()
    .layerSize(100)
    .windowSize(5)
    .stopWords(stopList)
    .tokenizerFactory(t)
    .learningRate(0.025)
    .build();

And the method you're using to limit vocabulary size:

vec.limitVocabularySize(100); //将词汇表大小限制为100

To sum up: without setting limitVocabularySize(), your vocabulary size depends entirely on how many unique words in your training data meet or exceed the default 5-occurrence threshold.

内容的提问来源于stack exchange，提问作者Sfaiz