Added feature extraction using Word2Vec is preferable when semantic relationships are crucial, especially with large datasets. This approach captures the context of words in a corpus and learns word associations, making it ideal for tasks such as natural language processing, recommendation systems, and understanding word similarities.
prezmora
commented
5 months ago
Added feature extraction using Word2Vec is preferable when semantic relationships are crucial, especially with large datasets. This approach captures the context of words in a corpus and learns word associations, making it ideal for tasks such as natural language processing, recommendation systems, and understanding word similarities.