⚡️NLP is a field of artificial intelligence that focuses on the interaction between computers and human language. It involves the development of algorithms and models to enable machines to understand, interpret, and generate human language. ⚡️For Day 12 - Day 22 of my #100daysofcodechallenge I applied the concepts from Stanfords online course CS224N NLP with Deep learning in Python. My key learnings: ⚡️Word vectors represent words as continuous-valued vectors in a multi-dimensional space, capturing semantic relationships between words based on their context. Also known as word embeddings, these vectors enable mathematical operations on words. Similar words have closer vector representations, aiding in semantic understanding. ⚡️Word2Vec is an algorithm that learns word embeddings by training neural networks to predict words based on their context, resulting in dense vector representations. Consists of Skip-gram and Continuous Bag of Words (CBOW) architectures. Efficiently captures seman...