Learning Application of R: Part 1 of 3 (Emotion Analysis)
What you'll learn
- Sentiment Analysis
- Emotion Analysis
- Creating Shiny App
- Creating R Markdown
- Use of many related R Libraries
- Knowledge of R Programming Essential
- Knowledge of using RStudio Essential
- Exposure to Computer Software Programming Essential
In this course series, application developed using R language are discussed. We will cover topics from simple applications like creating Word Clouds to complex applications like Emotion Analysis, Churn Management, Stock Market Prediction, etc. All the applications discussed in the course have been developed through research by me. All the products discussed are being used for different organisational operations in my company and/or by our Customers.
The course start with discussing simple applications through which concepts and applications of supporting tools including R Language features. Tools like knitR, Shiny, etc are discussed. The goal is to develop a concept into an Algorithm and end with developing a Data Product which could be released for consumption in the Market. We will discuss how to publish the Data Products so that it could be available to everyone on the Internet.
Though this course provides a primer on R Programming, it is highly desirable that the Learner has a reasonably good exposure to R Programming. The learner is expected to have installed tools using which R Programming could be conducted. In case, the Learner needs help with getting started with R Programming, they could go through the course "Learning R through an Example".
The course is broken into 3 parts. In each part,1 or more main application is discussed.
In this part, i.e. Part 1, Emotion Analysis is the topic of discussion.
The discussion on Emotion Analysis starts with understanding Sentiment Analysis and then proceeds to Emotion Analysis. The needed concepts of Sentiment Analysis and Emotion Analysis are discussed. The different libraries available in R Language is exposed. The course ends with developing a Data Product for Emotion Analysis.
Who this course is for:
- Marketing Specialist
- Business Development Specialist
- Business Intelligence Consultant
- Business Analyst
- E-Commerce Specialist
- HR Specialist
Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution, Hospital Management solution, Travel Management solution, Manufacturing Resource Planning (MRP II) solution, Insurance Management solution and Tax automation solution (for Government of Thailand).
Partha got involved in Telecom solution with project from Total Access Communications, Bangkok in 1996. Partha developed the completed solution architecture and designed & developed the complete infrastructure services and primitives on top of which the end-to-end Customer Care and Billing solution was developed between 1996-1998.
Partha has worked for companies including Amdocs, Portal, Siemens and has developed key components of their solutions. For Siemens, Partha developed the complete BSS suite.
Partha worked with Mobily, Saudi Arabia as the Enterprise Architect and has first-hand of experience of work inside a Telecom Operator.
Partha started his own company, Majumdar Consultancy Pvt Ltd, in 2014. He partnered with a Dubai based businessman to open SI Solutions India Pvt Ltd in 2016. In 2019, he joined Tools and Solutions, Saudi Arabia as Director - Professional Services to establish the Professional Services business.
Partha has recently developed a Remote Control, which can be controlled from a Web Site. The Remote Control can in turn control any device. The Remote Control to be controlled needs having Infra-Red sensing capabilities. The Remote Control is controlled through DragonBoard 410C through a Android Program.
Partha has been working on fine tuning the algorithm for a Access Control System through Face Recognition. The program has been developed using Convolutional Neural Network (CNN).
Partha has also developed a software which tries to predict the Stock Market. The solution has been developed using Recurrent Neural Network (RNN). The solution presently predict with an accuracy of 77%.