| 期刊全称 | Applied Text Mining | | 影响因子2023 | Usman Qamar,Muhammad Summair Raza | | 视频video | | | 发行地址 | 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 | | 图书封面 |  | | 影响因子 | .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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发表于 2025-3-21 16:21:53
