{"product_id":"natural-language-processing-and-computational-linguistics-a-practical-guide-to-text-analysis-with-python-gensim-spacy-and-keras-paperback","title":"Natural Language Processing and Computational Linguistics: A practical guide to text analysis with Python, Gensim, spaCy, and Keras - Paperback","description":"\u003cp\u003eby \u003cb\u003eBhargav Srinivasa-Desikan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWork with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras\u003c\/li\u003e\n\u003cli\u003eHands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms\u003c\/li\u003e\n\u003cli\u003eLearn deep learning techniques for text analysis\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eModern text analysis is now very accessible using Python and open source tools, so discover how you can now perform modern text analysis in this era of textual data.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhy text analysis is important in our modern age\u003c\/li\u003e\n\u003cli\u003eUnderstand NLP terminology and get to know the Python tools and datasets\u003c\/li\u003e\n\u003cli\u003eLearn how to pre-process and clean textual data\u003c\/li\u003e\n\u003cli\u003eConvert textual data into vector space representations\u003c\/li\u003e\n\u003cli\u003eUsing spaCy to process text\u003c\/li\u003e\n\u003cli\u003eTrain your own NLP models for computational linguistics\u003c\/li\u003e\n\u003cli\u003eUse statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn\u003c\/li\u003e\n\u003cli\u003eEmploy deep learning techniques for text analysis using Keras\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 306\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.64 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 29, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47418891763890,"sku":"9781788838535","price":63.34,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/72a48424eab7653a84c37f5b7ddbd16d.webp?v=1778462686","url":"https:\/\/box.dadyminds.org\/products\/natural-language-processing-and-computational-linguistics-a-practical-guide-to-text-analysis-with-python-gensim-spacy-and-keras-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}