Word2Vec is a machine learning model that converts words into numerical vectors, capturing their meanings based on context. This model helps in understanding word relationships and semantics in natural language processing tasks.
Natural Language Processing (NLP) plays a crucial role in enhancing text classification and document clustering by enabling machines to understand,…