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.
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.