| 书目名称 | Natural Language Processing Recipes | | 副标题 | Unlocking Text Data | | 编辑 | Akshay Kulkarni,Adarsha Shivananda | | 视频video | | | 概述 | Explains NLP concepts with simple programming recipes and implementation in Python.Teaches NLP life cycle end-to-end implementation pipeline: leverage state-of-the-art techniques and tools.Covers the | | 图书封面 |  | | 描述 | Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. .The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters expl | | 出版日期 | Book 2021Latest edition | | 关键词 | Natural language processing; Text analytics; NLP using python; Machine learning; Deep Learning; Python; Un | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-7351-7 | | isbn_softcover | 978-1-4842-7350-0 | | isbn_ebook | 978-1-4842-7351-7 | | copyright | Akshay Kulkarni and Adarsha Shivananda 2021 |
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发表于 2025-3-21 17:49:49
