Natural Language Processing and Computational Linguistics
Cód:
491_9781788838535
De: R$ 0,00Por: R$ 324,18ou X de
Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.Key Features:Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and KerasHands-on text analysis with Python, featuring natural language processing and computational linguistics algorithmsLearn deep learning techniques for text analysisBook Description:Modern 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.This 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.Youll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. Youre then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. Youll learn to tag, parse, and model text using the best tools. Youll gain hands-on knowledge of the best frameworks to use, and youll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning.This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. Youll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis.What You Will Learn:Why text analysis is important in our modern ageUnderstand NLP terminology and get to know the Python tools and datasetsLearn how to pre-process a
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