Mastering Social Media Mining with Python. Unearth deeper insight from your social media data with advanced Python techniques for acquisition and anal

Mastering Social Media Mining with Python. Unearth deeper insight from your social media data with advanced Python techniques for acquisition and anal - Opis

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. Spis treści: 1. Social Media, Social Data, and Python2. #MiningTwitter: Hashtags, Topics, and Time Series3. Users, Followers, and Communities on Twitter4. Posts, Pages, and User Interactions on Facebook5. Topic Analysis on Google Plus6. Questions and Answers on Stack Exchange7. Blogs, RSS, Wikipedia and Natural Language Processing8. Mining All the Data!9. Linked Data and The Semantic Web O autorze: Marco 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 the years, he has enjoyed working on a variety of information management and data science problems. He maintains a personal blog at https://marcobonzanini.com, (...) więcej where he discusses different technical topics, mainly around Python, text analytics, and data science. When not working on Python projects, he likes to engage with the community at PyData conferences and meetups, and he also enjoys brewing homemade beer. mniej