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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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發(fā)表于 2025-3-21 16:21:53 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Text Mining
影響因子2023Usman Qamar,Muhammad Summair Raza
視頻videohttp://file.papertrans.cn/168/167524/167524.mp4
發(fā)行地址Covers the concepts, theories, and implementations of text mining and natural language processing.Explains core topics like feature engineering, text classification, clustering, summarization, and top
圖書封面Titlebook: Applied Text Mining;  Usman Qamar,Muhammad Summair Raza Textbook 2024 The Editor(s) (if applicable) and The Author(s), under exclusive lice
影響因子.This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples..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 appro
Pindex Textbook 2024
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https://doi.org/10.1007/978-3-031-51917-8Data Mining; Topic Modeling; Neural Networks; Text Mining; Deep Learning; Sentiment Analysis; Feature Engi
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978-3-031-51916-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Aishath Muneeza,Zakariya MustaphaThis chapter details the textual data, text mining operations, structure of the text information systems, and other basic concepts.
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