Machine Learning for Text

Machine Learning for Text

Aggarwal, Charu C.

Springer Nature Switzerland AG

05/2022

565

Dura

Inglês

9783030966225

15 a 20 dias

1295

Descrição não disponível.
1 An Introduction to Text Analytics.- 2 Text Preparation and Similarity Computation.- 3 Matrix Factorization and Topic Modeling.- 4 Text Clustering.- 5 Text Classification: Basic Models.- 6 Linear Models for Classification and Regression.- 7 Classifier Performance and Evaluation.- 8 Joint Text Mining with Heterogeneous Data.- 9 Information Retrieval and Search Engines.- 10 Language Modeling and Deep Learning.- 11 Attention Mechanisms and Transformers.- 12 Text Summarization.- 13 Information Extraction and Knowledge Graphs.- 14 Question Answering.- 15 Opinion Mining and Sentiment Analysis.- 16 Text Segmentation and Event Detection.
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Machine Learning;Deep Learning;Neural Networks;Transformers;Text Mining;Natural Language Processing;Information Retrieval;Artificial Intelligence;Pre-Trained Language Models;Search Engines;Web Mining