Isbn: 9781783552016 - mastering social media mining with python: unearth deeper insight from your social media data with advanced python techniques for acquisition and analysis (15 resultados)

Condición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condición: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

Paperback. Condición: Fine.

Paperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condición: New.

Condición: New.

Condición: New. In English.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Softcover. Condición: gut. 2016. Mastering Social Media Mining with Python (English Edition): Unearth deeper insi In englischer Sprache. pages.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Acquire and analyze data from all corners of the social web with Python Key Features ¿ Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide ¿ Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data ¿ This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Book Description Your social media is filled with a wealth of hidden data - unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. What you will learn ¿ Interact with a social media platform via their public API with Python ¿ Store social data in a convenient format for data analysis ¿ Slice and dice social data using Python tools for data science ¿ Apply text analytics techniques to understand what people are talking about on social media ¿ Apply advanced statistical and analytical techniques to produce useful insights from data ¿ Build beautiful visualizations with web technologies to explore data and present data products Who this book is for This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data. …

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnMarco Bonzanini is a data scientist based in London, United Kingdom. He holds a Ph.D. in information retrieval from the Queen Mary University of London. He specializes in text analytics and search applications, and over th.…