Word Embeddings are a technique in NLP that represent words as continuous vectors in a high-dimensional space. These vectors capture semantic and syntactic relationships between words. Word embeddings are useful for tasks such as language translation, sentiment analysis, and document clustering.
Virtual Reality (VR) allows users to experience and interact with artificial, computer-generated environments. By immersing users in virtual worlds, businesses can create engaging and…