Explore the fundamentals of Natural Language Processing (NLP) and Topic Modeling in this 30-minute introductory video from Open Data Science. Gain insights into the growing demand for NLP experts and recent advancements in the field. Learn essential concepts and techniques for analyzing text data, including word vectors and topic modeling methodologies. Discover basic NLP modeling approaches, pre-processing techniques, and popular tools like Regular Expressions, Spacy, and NLTK. Delve into key processes such as stemming, lemmatization, and Part of Speech tagging. Examine advanced topics like TF vectorization, word embeddings, and Latent Dirichlet Analysis. By the end of this session, acquire a solid foundation in NLP and topic modeling, preparing you for more advanced applications in various business contexts.