6013B0801Y

This comprehensive handwritten summary on Text Retrieval and Mining covers essential concepts from both lectures and tutorials. Key topics include Bag-of-Words models, TF-IDF, text processing techniques, POS tagging, constituency parsing, named entity recognition, and entity linking. It also explores advanced methods like topic modeling with Latent Dirichlet Allocation (LDA) and BERTopic, as well as word embeddings using GloVe and Word2Vec. The notes delve into natural language processing with d...