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Text is everywhere, and it is a fantastic resource for social scientists. However, because it is so abundant, and because language is so;
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. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their;
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Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;
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Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science;
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. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social;
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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;
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analysis * Slice and dice social data using Python tools for data science * Apply text analytics techniques to understand what people are talking;
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sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move;
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sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move;
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Using Python for Text Analysis in Accounting Research provides an interactive step-by-step framework for analyzing spoken or written;
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techniques for text analysis Book DescriptionModern text analysis is now very accessible using Python and open source tools, so discover how you can;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural;
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using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural;
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is for those who wish to learn different data analysis methods using Python 3.5 and its libraries. This book contains all the basic ingredients;
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greatest tools * Use Python libraries to extract data from log files that are designed more for people to read than for automated analysis;
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of NumPy. This book is for programmers, scientists, or engineers, who have basic Python knowledge and would like to be able to do numerical;
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Become an expert at using Python for advanced statistical analysis of data using real-world examples About This Book * Clean, format;
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, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;
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, especially for data analysis applications. Certain low-level language features are discussed in detail, especially Python memory management and data;
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Science with Python - data mining, data analysis, data visualization, and machine learning Who This Book Is For If you are a Python;
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Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements;
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filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping;
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in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning;
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Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;
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Statistical Learning using Neural Networks: A Guide for Statisticians and Data Scientists with Python introduces artificial neural networks;
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classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python;
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