Applied Text Mining

[Farid]

English | 2024 | ISBN: 3031519167 | 505 Pages | PDF (True) | 13 MB

Subject: Computer Technology, Nonfiction
Catergory: Computer Technology, Nonfiction
Publisher: Springer New York
Description:

It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches.

🌞 Contents of Download:
📌 978 3 031 51917 8.pdf (Rafael E. Banchs) (2012) (12.92 MB)

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⭐️ Applied Text Mining ✅ (12.92 MB)
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