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Concept

Text corpus

Related lectures (31)

Text Processing: Humanities Computing and Linguistics

Explores the processing of large digital texts, revealing hidden patterns and structures, and the convergence of Humanities Computing and Computational Linguistics.

Word Embeddings: Introduction and Applications

Introduces word embeddings, explaining how they capture word meanings based on context and their applications in natural language processing tasks.

Text Data Processing: Basics & Techniques

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

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.

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.

Probabilistic Retrieval

Covers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.

Text Understanding

Explores Text Understanding, focusing on Named Entities, Information Extraction, and Machine Reading methods.

Text Encoding: Unicode and XML

Explores text encoding evolution, Unicode, XML, OCR, HTR, and handling spelling variations in historical texts.

Neural Word Embeddings: Learning Representations for Natural Language

Covers neural word embeddings and methods for learning word representations in natural language processing.

Text Data Analysis: Basics and Techniques

Introduces the basics of text data analysis, covering document retrieval, classification, sentiment analysis, and topic detection using preprocessing techniques and machine learning models.

Text Data Analysis: Techniques and Applications

Explores handling text data, deriving clean datasets from unstructured text, and various text analysis techniques.

Linguistics of Large Numbers

Explores the analysis of large numbers in linguistics and the evolution of language complexity using various texts and corpora.

Creating Robust Historical Corpora

Delves into creating robust corpora for historical research to draw reliable conclusions.

Latent Semantic Indexing: Concepts and Applications Log in to Mediaspace to watch this video

Explores latent semantic indexing, vocabulary construction, document matrix creation, query transformation, and document retrieval using cosine similarity.

Neural Networks for NLP Log in to Mediaspace to watch this video

Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.

Introduction to NLP and the Course Log in to Mediaspace to watch this video

Covers the basics of Natural Language Processing, including challenges, linguistic processing levels, and the impact of power laws.

Taxonomy Induction: Relations Extraction and Graph Construction Log in to Mediaspace to watch this video

Covers relations extraction and graph construction in taxonomy induction, emphasizing noise reduction for accurate graphs.

Text Retrieval: Document Ranking Log in to Mediaspace to watch this video

Covers text retrieval tasks with document ranking and re-ranking, using a large corpus for evaluation.