Concept
Text corpus
Related lectures (30)
Latent Semantic Indexing: Concepts and Applications
Explores latent semantic indexing, vocabulary construction, document matrix creation, query transformation, and document retrieval using cosine similarity.
Taxonomy Induction: Relations Extraction and Graph Construction
Covers relations extraction and graph construction in taxonomy induction, emphasizing noise reduction for accurate graphs.
Handling Text: Document Retrieval, Classification, Sentiment Analysis
Explores document retrieval, classification, sentiment analysis, TF-IDF matrices, nearest-neighbor methods, matrix factorization, regularization, LDA, contextualized word vectors, and BERT.
Information Retrieval: Fagin's Algorithm
Covers the implementation of Fagin's algorithm for information retrieval, focusing on efficient document retrieval.
Indexing for Information Retrieval
Explores indexing techniques, inverted files, map-reduce models, and trie usage for efficient information retrieval.
Keyphrase Extraction
Covers keyphrase extraction, a method to extract important phrases from text for document summarization, indexing, and search.
Text Processing: Large Digital Text Collections Analysis
Delves into the processing of large digital text collections, exploring hidden regularities, text reuse, and TF-IDF analysis.
NLP Pre-processing: Tokenization, Stop Words, Lemmatization
Covers tokenization, stop words removal, and lemmatization for NLP tasks.
Information retrieval: vector space
Covers the basics of information retrieval using vector space models and practical exercises on relevance feedback and posting list scanning.
Probabilistic Retrieval
Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.