| 書目名稱 | Text Analytics with Python | | 副標題 | A Practical Real-Wor | | 編輯 | Dipanjan Sarkar | | 視頻video | http://file.papertrans.cn/904/903504/903504.mp4 | | 概述 | Complete coverage is provided of the major concepts and techniques in natural language processing and text analytics.Hands-on practical examples are included.Implementation of Python and popular open | | 圖書封面 |  | | 描述 | .Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization...Text Analytics with Python.?teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem.?You will look at each technique and algorithm with both a bird‘s eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems...What You Will Learn:.Understand themajor concepts and techniques of natural language processing (NLP) andtext analytics, including syntax and structure.Builda textclassification system to categorize news articles, analyze app or gamereviews using topic modeling and text summarization, and cluster popularmovie synopses and analyze the sentiment of movie reviews.Implement Pythonand popular open source libraries in NLP and text analytics, such as thenatural lang | | 出版日期 | Book 20161st edition | | 關(guān)鍵詞 | Text Mining; Python; Natural Language Basics; Text Classification; Text Clustering; Sentiment Analysis; De | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-2388-8 | | isbn_ebook | 978-1-4842-2388-8 | | copyright | Dipanjan Sarkar 2016 |
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