Category
Topics in natural language processing
Related lectures (742)
Handling Text Data: Document Retrieval and Classification
Covers document retrieval, classification, sentiment analysis, and topic detection using TF-IDF matrices and contextualized word vectors.
Information Extraction: Algorithms and Techniques
Explores algorithms and techniques for information extraction, including Viterbi algorithm, named entities recognition, and distant supervision.
Neural Machine Translation
Explores the evolution and challenges of Neural Machine Translation systems and the evaluation metrics used in this field.
Latent Semantic Indexing: Concepts and Applications
Explores Latent Semantic Indexing, a technique for mapping documents into a concept space for retrieval and classification.
Neural Word Embeddings: Learning Representations for Natural Language
Covers neural word embeddings and methods for learning word representations in natural language processing.
Text Data Processing: Basics & Techniques
Introduces the basics of text data processing, covering document retrieval, classification, sentiment analysis, and topic detection.
Named Entities Analysis
Covers various projects related to bots developed by students at EPFL.
Neural Networks for NLP
Covers modern Neural Network approaches to NLP, focusing on word embeddings, Neural Networks for NLP tasks, and future Transfer Learning techniques.
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.
Text Handling: Matrix, Documents, Topics
Explores text handling, focusing on matrices, documents, and topics, including challenges in document classification and advanced models like BERT.