Part 3: Word2Vec and Doc2Vec

Learning Word2Vec and Doc2Vec is essential for mastering NLP and text analysis. Word2Vec equips you with the ability to represent words as meaningful, dense vectors, capturing semantic relationships crucial for tasks, such as sentiment analysis and machine translation. Doc2Vec extends this capability to entire documents, enabling effective document clustering, information retrieval, and recommendation systems. These techniques not only enhance NLP model performance but also provide foundational knowledge for various applications, job opportunities, and research endeavors, making them indispensable tools in the world of language understanding and artificial intelligence.

This part contains the following chapters:

• Chapter 7, Using Word2Vec
• Chapter 8, Doc2Vec with Gensim