Text Data Mining /

This book discusses various aspects of text data mining. Unlike other books that focus on machine learning or databases, it approaches text data mining from a natural language processing (NLP) perspective. The book offers a detailed introduction to the fundamental theories and methods of text data m...

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Bibliographic Details
Main Authors:	Zong, Chengqing (Author), Xia, Rui (Author), Zhang, Jiajun (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Subjects:	Natural language processing (Computer science). Data mining. Machine learning. Natural Language Processing (NLP). Data Mining and Knowledge Discovery. Machine Learning. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Chapter 1. Introduction
Chapter 2. Data Annotation and Preprocessing
Chapter 3. Text Representation
Chapter 4. Text Representation with Pretraining and Fine-tuning
Chapter 5. Text classification
Chapter 6. Text Clustering
Chapter 7. Topic Model
Chapter 8. Sentiment Analysis and Opinion Mining
Chapter 9. Topic Detection and Tracking
Chapter 10. Information Extraction
Chapter 11. Automatic Text Summarization. .