AI NOW : What are Word Embeddings for Processing Text w.r.t any Algorithm in NLP ?? |
About this lesson
Visit now for Latest Blogs on New Gen AI : https://talentcatalystai.com/ Insta Handle (@ai_talentcatalyst) : https://www.instagram.com/ai_talentcatalyst/ To understand the concept of Word Embeddings in depth and its applications for any Algorithm in Natural Language Processing, go through the entire video. The video explains in depth the following : - Defining the concept of Word Embeddings in NLP - Need for Word Embeddings (Removing High Dimensionality & Sparsity / Introducing Semantics) - The Process of Vectorization - Spatial Representation of a Vector - How are Word Embeddings Trained and the Major Techniques - Practical Python Example to find the Similarity between Words using FastText Word Embedding To understand the Frequency Based Algorithms in NLP such as TF-IDF, watch : https://youtu.be/RbEAStMCTZc Subscribe to the page for more such videos related to Artificial Intelligence, Machine Learning, Deep Learning and Generative AI.
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