Twitter Analysis in R | Data Science

R Tutorial will teach you to analyze, grouping, and visualize tweets. Importance of Clustering Analysis ------------------------------------------------------- Clustering is a method of unsupervised learning and is a common technique for statistical data analysis used in many fields. In Data Science, we can use clustering analysis to gain some valuable insights from our data by seeing what groups the data points fall into when we apply a clustering algorithm. Cluster analysis can be a powerful data-mining tool for any organization that needs to identify discrete groups of customers, sales transactions, or other types of behaviors. Insurance providers use cluster analysis to detect fraudulent claims, and banks use it for credit scoring. Steps include, Read text file Build corpus Create a term-document matrix Plot frequent terms Applying Hierarchical clustering using a dendrogram Nonhierarchical (k-means) clustering Subscribe to our channel to get video updates. Hit the subscribe button above. About the Course Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in the analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in the near future. This is a must-learn course for professionals from Mathematics, Statistics, or Economics background and interested in learning Business Analytics. Source Code Credit https://github.com/bkrai