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Simplify Customer Sentiment Analysis with Python Data Functions in Spotfire

Over 90% of all data generated is unstructured (images, social posts, emails, logs, chats, etc), but less than 1% of it is ever analyzed. While visual analytics provides insights into structured data, sentiment analysis creates new value by applying text & visual analytics to unstructured data, allowing discovery of previously unknown information about customers and more.

Watch this webinar to learn how to leverage sentiment analysis for a comprehensive 360-degree view of customers and discover net-new market opportunities and consumer segments. Learn how customers are feeling, demystify their emotions and attitudes with data science, and visualize their desires with TIBCO Spotfire® analytics. 

In this session, we’ll share:

  • Top customer experience trends 
  • Modern business use cases for sentiment analysis
  • Examples using Natural Language Processing and Spotfire native Python data functions
Sentiment Analysis_Edited_052920_02
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Success with TIBCO:

$300K SAVINGS/MONTH

In electricity consumption via analytic-driven asset utilization

50,000/CAR/SECOND

Thousands of data points per car, per second understood with TIBCO Spotfire

21,000

Crewmembers who access and use Spotfire dashboards

18–24 HOURS

To spot patterns in new data
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