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

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樓主: Monsoon
11#
發(fā)表于 2025-3-23 11:18:45 | 只看該作者
12#
發(fā)表于 2025-3-23 13:59:26 | 只看該作者
https://doi.org/10.1007/978-3-031-17566-4This chapter details the process of feature engineering with examples, an implementation in Python, and a complete explanation of the source code.
13#
發(fā)表于 2025-3-23 18:21:45 | 只看該作者
14#
發(fā)表于 2025-3-24 01:47:27 | 只看該作者
https://doi.org/10.1007/978-3-031-41459-6This chapter explains the text clustering process in detail along with examples and implementation of each step in Python. During the process, the text is organized in the form of relevant groups and subgroups for further processing.
15#
發(fā)表于 2025-3-24 06:22:08 | 只看該作者
16#
發(fā)表于 2025-3-24 07:59:47 | 只看該作者
Fallanalysen zur Rezeption bildender Kunst,This 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.
17#
發(fā)表于 2025-3-24 13:38:46 | 只看該作者
Produkte in der Spektralsequenz,This chapter explains how deep learning can be used in the context of text mining and includes examples and a complete description of the accompanied Python source code.
18#
發(fā)表于 2025-3-24 18:09:52 | 只看該作者
https://doi.org/10.1007/BFb0084856This chapter explains the concepts related to deep learning in lexical analysis and parsing with practical examples and accompanied code.
19#
發(fā)表于 2025-3-24 21:13:58 | 只看該作者
https://doi.org/10.1007/978-3-642-65275-2This 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.
20#
發(fā)表于 2025-3-24 23:58:06 | 只看該作者
Introduction to Text MiningThis chapter details the textual data, text mining operations, structure of the text information systems, and other basic concepts.
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