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Python Text Processing with NLTK 2.0 Cookbook

want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required;

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Natural Language Processing

deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK;

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Python 3 Text Processing with NLTK 3 Cookbook

knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.;

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Python Natural Language Processing Cookbook

visualization Key Features Analyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensim Implement;

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Python Natural Language Processing

with ease * Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book;

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Applied Natural Language Processing with Python

existing code or create new algorithms. Applied Natural Language Processing with Python starts with reviewing the necessary machine learning;

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Text Analytics with Python

summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the;

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Natural Language Processing Recipes

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises;

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Python Cookbook 2e

covered: * Manipulating text * Searching and sorting * Working with files and the filesystem * Object-oriented programming * Dealing with threads;

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Building Chatbots with Python

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital;

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PySpark Cookbook

a Python environment for Spark. You'll then get familiar with the modules available in PySpark and start using them effortlessly;

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Python for Signal Processing

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which;

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Natural Language Processing Recipes

, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection;

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MongoDB and Python

MongoDB and Python is a cookbook-style text to help Python programmers work with MongoDB. It is full of useful, practical recipes for;

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Natural Language Processing Fundamentals

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features;

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Programming Arcgis 10.1 With Python Cookbook

Python to power ArcGIS to create shortcuts, scripts, tools, and customizations. Programming ArcGIS 10.1 with Python Cookbook is written for GIS;

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Natural Language Processing With Python And Spacy

Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading;

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Python Image Processing Cookbook

Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to;

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Natural Language Processing and Computational Linguistics

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and;

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Raspberry Pi Image Processing Programming

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4. This book covers image processing;

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Python Data Analysis -

modules, such as matplotlib, statsmodels, scikit-learn, and NLTK. It also covers using Python with external environments such as R, Fortran, C/C;

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Machine Learning and Data Science Blueprints for Finance From Building Trading Strategies to RoboAdvisors Using Python

, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into;

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Raspberry Pi Cookbook for Python Programmers

in. Readers are expected to be familiar with programming concepts and Python (where possible Python 3 is used), although beginners should manage with;

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Text Analysis in Python for Social Scientists

variable, it is often difficult to extract the information we want. There is a whole subfield of AI concerned with text analysis (natural language;

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