Learn Twitter Sentiment Analysis with SAP HANA and SAPUI5

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MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 3.5 Hours | Lec: 30 | 3.06 GB
Genre: eLearning | Language: English

Build Twitter Sentiment Analysis App with SAPUI5, HANA® and Twitter API's and Learn Hands-on

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.
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