By Dipanjan Sarkar,Raghav Bali,Tushar Sharma
- A useful consultant written to assist leverage the facility of the R eco-system to extract, method, study, visualize and version social media data
- Learn approximately information entry, retrieval, cleansing, and curation tools for information originating from quite a few social media platforms.
- Visualize and examine facts from social media systems to appreciate and version advanced relationships utilizing numerous options and methods corresponding to Sentiment research, subject Modeling, textual content Summarization, advice structures, Social community research, class, and Clustering.
The web has actually grown humongous specially within the final decade with the increase of assorted sorts of social media, which provide clients a platform to specific themselves and likewise speak and collaborate with one another. This ebook can assist the person to appreciate the present social media panorama and the way analytics should be leveraged to derive insights from it. this knowledge might be analyzed for gaining useful insights into the habit and engagement of clients, firms, companies, and types. it's going to support readers in framing enterprise difficulties and fixing these utilizing social data.
The booklet also will conceal numerous useful real-world use situations on social media utilizing R and its complex programs to make use of info technology methodologies similar to Sentiment research, subject Modeling, textual content Summarization, advice platforms, Social community research, category, and Clustering. this may permit readers to benefit diverse hands-on ways to acquire info from various social media resources equivalent to Twitter, fb, etc. it is going to additionally consultant readers in constructing targeted workflows for processing, visualization, and research of information to rework social information into actionable insights.
What you'll learn
- Learn to faucet into information from assorted social media systems utilizing the R ecosystem
- Use social media facts to formulate and remedy real-world problems
- Analyze consumer social networks and groups utilizing recommendations from graph conception and community analysis
- Learn to become aware of opinion and sentiment, extract issues, subject matters, and tendencies from unstructured noisy textual content facts from diversified social media channels
- Understand the paintings of representing actionable insights with powerful visualizations
- Analyze facts from significant social media channels comparable to Twitter, fb, Flickr, Foursquare, Github, StackExchange, and so on
- Learn to leverage well known R applications equivalent to ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and plenty of more
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Extra info for Learning Social Media Analytics with R
Learning Social Media Analytics with R by Dipanjan Sarkar,Raghav Bali,Tushar Sharma