| 书目名称 | Text Analytics with Python | | 副标题 | A Practitioner‘s Gui | | 编辑 | Dipanjan Sarkar | | 视频video | http://file.papertrans.cn/904/903505/903505.mp4 | | 概述 | Showcases diverse NLP applications including Classification, Clustering, Similarity Recommenders, Topic Models, Sentiment, and Semantic Analysis.Implementations are based on Python 3.x and several pop | | 图书封面 |  | | 描述 | .Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. .You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. .Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques..There is a | | 出版日期 | Book 2019Latest edition | | 关键词 | Text Mining; Python; Natural Language Basics; Text Classification; Text Clustering; Sentiment Analysis; De | | 版次 | 2 | | doi | https://doi.org/10.1007/978-1-4842-4354-1 | | isbn_softcover | 978-1-4842-4353-4 | | isbn_ebook | 978-1-4842-4354-1 | | copyright | Dipanjan Sarkar 2019 |
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