Python natural language processing von anti zhenya (7 Ergebnisse)
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Leverage your natural language processing skills to make sense of text. With this book, you ll learn fundamental and advanced NLP techniques in Python that will help you to make your data fit for application in a wide v…ariety of industries. You ll also find.
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Taschenbuch. Zustand: Neu. Python Natural Language Processing Cookbook - Second Edition | Over 60 recipes for building powerful NLP solutions using Python and LLM libraries | Zhenya Anti¿ (u. a.) | Taschenbuch | Englisch | 2024 | Packt Publishing | EAN 9781803245744 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1,… 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Zustand: Neu. Python Natural Language Processing Cookbook | Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks | Zhenya Anti¿ | Taschenbuch | Englisch | 2021 | Packt Publishing | EAN 9781838987312 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244…Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey Features:Analyze varying complexities of text using popular Python packages such as NLTK,… spaCy, sklearn, and gensimImplement common and not-so-common linguistic processing tasks using Python librariesOvercome the common challenges faced while implementing NLP pipelinesBook Description:Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts of speech tagging to help you to prepare your data. You'll then learn ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways of representing the semantics using bag-of-words, TF-IDF, word embeddings, and BERT, and develop skills for text classification using keywords, SVMs, LSTMs, and other techniques. As you advance, you'll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets. Additionally, the book shows you how to develop chatbots using NLTK and Rasa and visualize text data.By the end of this NLP book, you'll have developed the skills to use a powerful set of tools for text processing.What You Will Learn:Become well-versed with basic and advanced NLP techniques in PythonRepresent grammatical information in text using spaCy, and semantic information using bag-of-words, TF-IDF, and word embeddingsPerform text classification using different methods, including SVMs and LSTMsExplore different techniques for topic modeling such as K-means, LDA, NMF, and BERTWork with visualization techniques such as NER and word clouds for different NLP toolsBuild a basic chatbot using NLTK and RasaExtract information from text using regular expression techniques and statistical and deep learning toolsWho this book is for:This book is for data scientists and professionals who want to learn how to work with text. Intermediate knowledge of Python will help you to make the most out of this book. If you are an NLP practitioner, this book will serve as a code reference when working on your projects.
