Handling Text: Document Retrieval, Classification, Sentiment AnalysisExplores document retrieval, classification, sentiment analysis, TF-IDF matrices, nearest-neighbor methods, matrix factorization, regularization, LDA, contextualized word vectors, and BERT.
Lexical SemanticsExplores lexical semantics, word sense, semantic relations, and WordNet, highlighting applications in language engineering and information retrieval.
Neural Word EmbeddingsIntroduces neural word embeddings and dense vector representations for natural language processing.
Information Retrieval BasicsIntroduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.
