Machine Learning for Text

By Charu C. Aggarwal

Book Overview

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.

• Format: Hardcover
• Language: English
• ISBN: 3030966224
• ISBN13: 9783030966225
• Release Date: May 2022
• Publisher: Springer
• Length: 565 Pages
• Weight: 2.72 lbs.
• Dimensions: 1.3" x 7.0" x 10.0"