This model represents words as vectors in a high-dimensional space. It can capture semantic and syntactic relationships between words and is used for various NLP tasks like sentiment analysis, text classification, and language translation.
This model represents words as vectors in a high-dimensional space. It can capture semantic and syntactic relationships between words and is used for various NLP tasks like sentiment analysis, text classification, and language translation.