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.
Text-Based Information RetrievalCovers the basic concepts of text-based information retrieval and how documents are indexed and retrieved based on user queries.
Latent Semantic IndexingCovers Latent Semantic Indexing, word embeddings, and the skipgram model with negative sampling.
Probabilistic Retrieval ModelsCovers probabilistic retrieval models, evaluation metrics, query likelihood, user relevance feedback, and query expansion.
