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.
Cognitive Automation refers to the use of Artificial Intelligence (AI) and advanced algorithms to automate tasks that traditionally require human intelligence, such as decision-making…