IBM Helps City Governments Measure Public Sentiments
IBM analytics helps cities measure and make sense of public opinions expressed in social media.
Posted Sep 14, 2012
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Yesterday at the IBM Smarter Cities Forum in New Delhi, India, IBM unveiled a new social sentiment capability based on sophisticated analytics technologies to help cities around the world better measure and understand public opinions on key city issues and services, such as public transportation or education.

IBM's advanced analytics and natural language processing technologies used to analyze large volumes of public social media data to assess and understand citizen opinions are now available to city governments around the world via new capabilities delivered with the IBM Intelligent Operations Center (IOC) for Smarter Cities. The IOC, which combines IBM software and services to integrate city operations through a single dashboard view to help cities improve efficiency, is now augmented with social media analytics capabilities that will help city officials make more informed decisions by looking at unfiltered citizen attitudes and actions, distinguishing between sincerity and sarcasm and even predicting trends as they surface online.

By applying analytics capabilities to the area of social media sentiment, organizations are able to better understand public opinions, and city officials can gain additional insights  to draw logical conclusions about where they should focus their attentions and resources. 

The IBM Social Sentiment Index uses advanced analytics and natural language processing technologies to analyze large volumes of social media data to assess public opinions. The Index can identify and measure positive, negative, and neutral sentiments shared in public forums such as Twitter, blogs, message boards, and other social media, and provide quick insights into consumer conversations about issues, products, and services. Representing a new form of market research, social sentiment analyses offer organizations new insights that can help them better understand and respond to consumer trends.

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