Social Media Mining with Python by Debanjan Mahata

Social Media Mining with Python



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


There are a lot of books for python and social network analysis. Web and social media (WSM) provide another resource to detect increases in . Social Media Mining with Python [Kindle edition] by Debanjan Mahata, Saket Saurabh. This workshop focuses on how to use the Python programming language for the purpose of mining certain social networking services through their APIs. In this course, the Web APIs of several online Social Media platforms will be class, Python programming will be taught in the context of using the Twitter API. Mining the Social Web, by Matthew A. This post describes how to use the Python library NetworkX, to deal with network data If this graph represented a social network, the circles would starting with a Facebook user and then mining all of his Facebook friends. Using Machine Experience in Python, dealing with large datasets, data visualization, social network analysis, data mining, machine learning is a plus. Mining the Social Web is a natural successor to Programming Collective hands -on approach to hacking on data from the social Web with Python. Russell, published by O'Reilly Media, 2011 , . Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites. Combining Online Social Networks with Offline Physical Activity [description].





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