Introduces Natural Language Processing, covering text preprocessing, sentiment analysis, and topic analysis, with a focus on building a climate change risk index.
Covers Latent Semantic Indexing, word embeddings, and the skipgram model with negative sampling.
Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
Covers the challenges and opportunities of data mining, practical questions, algorithm components, and applications like shopping basket analysis.
