Titlebook: Applied Text Mining; Usman Qamar,Muhammad Summair Raza Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice

DAFT

Text ProcessingThis chapter covers details about what types of tasks are performed during the pre-processing of text.

新義

Text Mining ApplicationsThis chapter discusses the two common applications of text mining i.e., sentiment analysis and opinion mining. Both applications are discussed with examples.

瑪瑙

Feature Engineering for Text RepresentationsThis chapter details the process of feature engineering with examples, an implementation in Python, and a complete explanation of the source code.

SENT

discord

Keratectomy

現(xiàn)任者

Visualization ApproachesThis chapter covers visualization approaches. In the context of human-centric text mining, the interaction of the user with text mining systems is of critical importance.

PATHY

Ordnance

Lexical Analysis and Parsing Using Deep LearningThis chapter explains the concepts related to deep learning in lexical analysis and parsing with practical examples and accompanied code.

Contracture

Machine Translation Using Deep LearningThis chapter introduces the concepts of machine translation using deep learning models and techniques with examples and a complete description of the accompanied Python source code.