Learn Twitter Sentiment Analysis with SAP® HANA® and SAPUI5
What you'll learn
- Learn how to do Sentiment Analysis
- Learn How to Write Native SQL With SAP® HANA®
- Learn How Work Upload Data in HANA® and Write Procedures to Call From XSJS Services
- Build Your Own Twitter Sentiment Analysis App with UI5
- Experience an End-to-End Simple Project Run With SAP® HANA®
Course content
- Preview01:50
- Preview06:12
- Preview08:44
- 05:59Basics of HANA® Development Environment
- 08:15Adding HANA® System
- 07:25Sharing Project to Remote Server and Look at tweets retrieved
- 08:53Creation of Tables and Structure of HANA® Tables
- 06:57Loading Data to Tables
- 05:03SQL Console in Eclipse HANA® Development Studies
- 06:51Creating Positive and Negative Table
- 05:32Test using SQL Queries on SQL Console
Requirements
- Basic Understanding of Web Programming
- Basic Understanding of SAP® HANA®
Description
As enterprises increase their Social Media footprint, their organizational success is fast being decided by the effectiveness of their social engagement strategies. You have to be spot-on in knowing what your customer's likes, dislikes, wants and needs are. Twitter in that regards is one of the best platforms to know your customer's sentiments. So your decisions are better when it matters. In this regards providing an application to find out twitter sentiment analysis with existing enterprises set up and tools is important.
In this course, we will learn in two parts how to do Twitter sentiment analysis with an existing hashtag. We will also learn how to use SAP® HANA® in-memory database from SAP®, SAPUI5 app will be used to create a simple dashboard to give the result of our twitter sentimental analysis. It would be a very fun and hands-on session. We highly recommend to follow along in each step and code along with the course. Most of the code which goes in the twitter sentiment analysis is run inside HANA® SQL procedures because HANA® is an in-memory database which will make the scripts run on RAM(In-Memory) and can take care of large data processing part of the application and perform in seconds or milliseconds as well.
Who this course is for:
- Associate Software Consultant
- Software Consultant
- University Students
- Data Science and Machine Learning Enthusiasts
- Web Developers
Instructor
![CS PRO](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.6 Instructor Rating
- 445 Reviews
- 16,944 Students
- 12 Courses
30+ Years of combined experience in Services, Consulting and Education. With more than a decade of experience in enhancing and implementing cutting edge technology for major European industries, some of them includes big Fortune 500 names.
We believes in the philosophy of spreading peace and happiness and we are a big fan of open source movement and also an alumni of prestigious IIT Kharagpur.