| 書目名稱 | Natural Language Processing Recipes | | 副標(biāo)題 | Unlocking Text Data | | 編輯 | Akshay Kulkarni,Adarsha Shivananda | | 視頻video | http://file.papertrans.cn/662/661798/661798.mp4 | | 概述 | Covers advanced programming recipes in natural language processing.Covers recent concepts such as RNN and embedding in national language processing.Includes many practical code examples using Python | | 圖書封面 |  | | 描述 | Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis.?.Natural Language Processing Recipes. starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing..By using the recipes in thisbook, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient.?.What You Will Learn.Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more.Implement the | | 出版日期 | Book 20191st edition | | 關(guān)鍵詞 | Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-4267-4 | | isbn_ebook | 978-1-4842-4267-4 | | copyright | Akshay Kulkarni and Adarsha Shivananda 2019 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-21 14:57
發(fā)表于 2025-3-21 16:44:22
