Mining the Social Web

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Mining the Social Web - Google+
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 39M | 330 MB
Genre: eLearning | Language: English

Google+ is a social media platform that allows its users to create profile pages and submit posts to interest-based communities. It's become a useful platform for data mining because it organizes user posts according to topic, making it possible to obtain a lot of sample data on any given subject.

This course, based on the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to mine Google+. You'll learn how to access Google+, public posts, extract and parse text, and analyze the similarity of documents using natural language processing (NLP) techniques and the Python Natural Language Toolkit (NLTK). Learners should have a Google account and a basic understanding of Python.
Understand how Google+ organizes user posts according to topic
Discover how to use the Python API to access Google+ and public posts
Explore methods for extracting and analyzing text in posts using techniques like tf-idf
Learn how to apply NLP techniques that measure the similarity between posts
Gain experience using Python's Natural Language Toolkit
Develop your ability to build machines that can explore the web, find documents, and analyze them

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