Analyze Customer Sentiment by Sourcing Tweets Using SAP BODS

  • by Shreekant W. Shiralkar, Global Head, SAP Analytics CoE, Tata Consultancy
  • Meenakshi Chopra, Solution Architect, SAP Analytics CoE, Tata Consultancy Services
  • Achin Kimtee, SAP BODS Product Consultant, Tata Consultancy Services
  • September 23, 2013
Shreekant Shiralkar, Meenakshi Chopra, and Achin Kimtee of Tata Consultancy Services show how to source and process text data from unstructured sources such as Twitter using SAP BusinessObjects Data Services 4.1. See how to extract keywords from the social media site Twitter and then analyze customer sentiment.
Key Concept

Extracting unstructured text data from social media and using it to analyze customer sentiments, market trends, and the public’s perception of products, services, or advertisements has become essential to staying relevant and competitive. The retail, insurance, consumer products, and goods industries are improving their competitive edge by inclusive engagement with their customers through such analytics. 

SAP BusinessObjects Data Services (BODS) can access social media such as Twitter and extract unstructured data that you then can use for analysis of trends such as customer sentiment. From Data Services 4.0, the Text Data Processing feature was made part of SAP Data Services. It allows you to extract keywords from unstructured text based on a dictionary or rule. The keywords are then analyzed for positive or negative remarks.

SAP Data Services cannot directly access social media content from sites such as Twitter, LinkedIn, or Facebook, although it can customize the available software development kit (SDK) to fetch data from social media. We cover the steps for configuring the BODS to read this streaming data using a Java-based Twitter API and then to provide data for sentiment analysis. We also explain the logic behind the code created for the Twitter API.

Shreekant W. Shiralkar

Shreekant W. Shiralkar is a senior management professional with experience on leading and managing business functions as well as technology consulting. He has authored best selling books and published many white papers on technology. He also holds patents for innovations. Presently he is global head of the SAP Analytics Centre of Excellence at Tata Consultancy.

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Meenakshi Chopra

Meenakshi Chopra is an associate at Tata Consultancy Services with 15 years of experience in IT serving the banking, manufacturing, and travel & hospitality Industries. Meenakshi is part of the leadership at SAP Analytics and SAP HANA Center of Excellence at Tata Consultancy and is engaged in architecting and designing solutions on SAP BusinessWarehouse, SAP BusinessObjects, and SAP HANA platforms. She is an engineer with specialization in electronic instrumentation.

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Achin Kimtee

Achin Kimtee is a software engineer with three years of IT experience. Currently he is working in Tata Consultancy Services as SAP Business Objects consultant. His core technical area is SAP Data Services while he has also worked in SAP Business Objects reporting tools such as Universe Design, Dashboards, and Web Intelligence.

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