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Titlebook: Natural Language Processing Recipes; Unlocking Text Data Akshay Kulkarni,Adarsha Shivananda Book 20191st edition Akshay Kulkarni and Adars

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書目名稱Natural Language Processing Recipes
副標題Unlocking Text Data
編輯Akshay Kulkarni,Adarsha Shivananda
視頻videohttp://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Titlebook: Natural Language Processing Recipes; Unlocking Text Data  Akshay Kulkarni,Adarsha Shivananda Book 20191st edition Akshay Kulkarni and Adars
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
關鍵詞Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un
版次1
doihttps://doi.org/10.1007/978-1-4842-4267-4
isbn_ebook978-1-4842-4267-4
copyrightAkshay Kulkarni and Adarsha Shivananda 2019
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l 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 978-1-4842-4267-4
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ss-sectional studies. Among adults the median total sitting time was 6.4?h/day. Self-reported sedentary time was 5.6?h/day which was more than 2??h/day less than that observed from device-based measured sitting time (median 8.3?h/day). Reported television (TV) watching time showed a median of 2.2?h/
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