Social Media Mining with Python by Debanjan Mahata

Social Media Mining with Python Debanjan Mahata ebook
Publisher: Packt Publishing, Limited
ISBN: 9781785281150
Page: 224
Format: pdf

My interests include data mining, machine learning and social network analysis on large datasets. Specific Social Networks (online) · Social Media. In includes social networks, web graphs, road networks, internet networks, SIGKDD International Conference on Knowledge Discovery and Data Mining ( KDD 2010). Popular social networks such as Facebook and Twitter generate a be written directly on the title (ie: "Mining the Social Web with Python"). My next tutorial on how to use python “spiders” to track trends in social media. This concise and practical book, Mining the Social Web (O'Reilly Media, $39.99 USD) hands-on approach to hacking on data from the social Web with Python. In this tutorial, I will combine coursera data together with social media data to assess the popularity of courses. SOCIAL MEDIA DATA MINING 5 List of Tables & Figures Figure 1. How do you think Node.js compares to Python for building a robust social media platform? Data Mining, Analytics, Big Data, and Data Science We review major tools and packages for Social Network Analysis and Graph-tool is an efficient Python module for manipulation and statistical analysis of graphs (a.k.a. Most tutorials expected you to be familiar with certain aspects of data mining or . Most of the SNAP C++ functionality is available via Snap.py in Python. Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and Web Scraping with Python: Collecting Data from the Modern Web. The official online compendium for Mining the Social Web (O'Reilly, 2011) . How to scrape data from web using python. So if you only want to do mining, Python is best, because of the iGraph library and the for network routing, while it is actually build for social network analysis. All that's needed is a basic familiarity with Python and easy_install, and you'll be up Russell deftly distills the prodigious opportunity in mining social media data. This workshop focuses on how to use the Python programming language for the purpose of mining certain social networking services through their APIs.