Text mining

Related lectures (32)

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Covers the fundamentals of spectroscopy, including selection rules and transitions.

Covers the basics of quantum chemistry and the Hartree-Fock method.

Covers the second assignment for the CS-552: Modern NLP course, focusing on transfer learning and data augmentation.

Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.

Explores knowledge extraction from text, covering key concepts like keyphrase extraction and named entity recognition.

Covers tokenization, stop words removal, and lemmatization for NLP tasks.

Introduces the basics of text data processing, covering document retrieval, classification, sentiment analysis, and topic detection.

Explores distant supervision for linking text to knowledge bases using entity extraction and classifiers.

Covers topics related to quantum chemistry, including observable operators and eigenvalues.

Covers the implementation of Fagin's algorithm for information retrieval, focusing on efficient document retrieval.