Mastering social media mining with R:

Mastering social media mining with R: extract valuable data from social media sites and make better business decisions using R / Sharan Kumar Ravindran, Vikram Garg Ravindran, Sharan Kumar Primary Author mixed material bibliography Birmingham: Packt Publishing 2015 eng ix, 228 hlm., ill. ; 28 cm Daftar Isi:A. Fundamentals of Mining 1. Social media and its importance 2. Various social media platforms 3. Social media mining 4. Challenges for social media mining 5. Social media mining techniques 6. The generic process of social media mining 7. Preprocessing and cleaning in R 8. Data modeling the application of mining algorithms 9. Result visualization 10. An example of social media mining B. Mining Opinions Exploring Trends and More with Twitter 1. Twitter and its importance 2. Understanding Twitter s APIs 3. Creating a Twitter API connection 4. Twitter sentiment analysis C. Find Friends on Facebook 1. Creating an app on the Facebook platform 2. Rfacebook package installation and authentication 3. A basic analysis of your network 4. Network analysis and visualization 5. Getting Facebook page data 6. Trending topics 7. Influencers 8. Measuring CTR performance for a page 9. Spam detection 10. The order of stories on a user s home page 11. Recommendations to friends D. Finding Popular Photos on Instagram 1. Creating an app on the Instagram platform 2. Installation and authentication of the instaR package 3. Accessing data from R 4. Building a dataset 5. Popular personalities 6. Finding the most popular destination 7. Clustering the pictures 8. Recommendations to the users 9. Business case E. Let s Build Software with GitHub 1. Creating an app on GitHub 2. GitHub package installation and authentication 3. Accessing GitHub data from R 4. Building a heterogeneous dataset using the most active users 5. Exploratory data analysis 6. EDA graphical analysis 7. EDA correlation analysis 8. Business cases F. More Social Media Websites 1. Searching on social media 2. Accessing product reviews from sites 3. Retrieving data from Wikipedia 4. Using the Tumblr API 5. Accessing data from Quora 6. Mapping solutions using Google Maps 7. Professional network data from LinkedIn 8. Getting Blogger data 9. Retrieving venue data from Foursquare 10. Yelp and other networks 1. R ( BAHASA PEMROGRAMAN ) 2. DATA - PENGUMPULAN 3. MEDIA SOSIAL 4. R ( PROGRAMMING LANGUAGE ) 006.312 RAV m 9781784396312 UPT Perpustakaan UM Koleksi Bahan Pustaka Perpustakaan UM 1 https%253A%252F%252Fsipadu.um.ac.id%252Fadmin%252Fpengolahan_buku%252Fimages%252Fupdbuku%252F62716.jpg 62716 2019-04-18 00:00:00 2019-04-18 00:00:00 machine generated