Analysing Tweets using R

By PARTHA MAJUMDAR, Director - Professional Services

3.8
Language: English

This course is for you

People around the globe make over 500 million tweets per day. So, one can only imagine the sheer volume of data available with Twitter. This data is a treasure trove of information. However, one needs to know how to gather this data and then conduct the needed analysis. This course provides all the information regarding How to gather data from Twitter using R Programming How to conduct basic analysis of the data gathered from Twitter How to extract the Emotion expressed in the Tweets gathered We will use R Programming throughout this course. Thus, this course requires that the participants are conversant with R Programming. If you prefer any other programming language (like. Python, etc.), then you can use this course to learn all the nuances of analysing Twitter Data and apply the same in programming in your language of. preference.

Course overview - 23

  • Welcome to the Course

  • If you want to Learn R Programming or brush up on R Programming ...

  • What is Twitter and Why it is used?

  • Twitter Developer Account

  • Fetching Tweets for Search String(s) and/or Hash Tag(s)

  • Getting Google Maps API Key

  • Fetching Tweets for a Location

  • Data fetched from Twitter

  • Displaying Fetched Tweets using DT

  • Creating Time Series Charts for the fetched Tweets

  • Basic Statistics - Introduction

  • Tweet Country Analysis

  • Tweet Place Analysis

  • Tweet Language Analysis

  • Tweet User Analysis

  • Tweet Source Analysis

  • Tweet Hash Tag Analysis

  • Location Analysis with Maps

  • Interactive Maps with Leaflet

  • Section Introduction - Emotion Analysis

  • Extracting Words from fetched Tweets

  • Finding Most Prevalent Emotion

  • Next Steps

Meet your instructor

PARTHA PARTHA
PARTHA MAJUMDARDirector - Professional Services
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 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 been working on fine tuning the algorithm for an 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%.