March 22, 2013
IBM's Social Sentiment Index for India Cricket
Photo: IBM CEO Addresses the Council on Foreign Relations. In a speech to senior business leaders at the Council on Foreign Relations on March 7, 2013 in New York City, IBM Chairman and CEO Ginni Rometty outlined a new model for corporate leadership in which data would become the basis for competitive advantage. For public and private sector organizations to thrive, she said, they will need to harness technologies such as big data, social networks and mobile computing to change how they develop and market products and services. (© Jon Simon/Feature Photo Service for IBM.)
Sachin Tendulkar continues to rule the game of cricket even across social networks, followed by captain Mahendra Singh Dhoni and opening batsman Murali Vijay. This is as per IBM’s Social Sentiment Index announced on the eve of the last test match in the the ongoing cricket series between India and Australia.
A real time analysis on social sentiment of cricket fans and alike conducted by IBM during the first three matches shows that cricketing legend Sachin Tendulkar consistently leads the overall conversation in this period. 50% of the public sentiment revolved around his batting performance followed by his past records, his stature and retirement plans.
For the first time, IBM applied advanced analytics software and natural language processing to cricket to build a social score board for the Indian Players based on the intensity of the sentiment and volume of online conversations. Over 1.2 lakh posts across a variety of platforms including Facebook, Twitter, YouTube and the blogging community were analysed during the first three matches in the current series.
Speaking about IBM’s Social Sentiment Index, Virginia Sharma, Vice President, Marketing & Communication, IBM India & South Asia, said: “Today, IBM is changing the game - both in business and in sports. By applying the social sentiment lens to cricket that has a multi-screen experience, we demonstrated how analytics can provide real time exciting insights into public preferences. This can be leveraged by organizations across the media, entertainment and sports industries to better understand their audience, determine endorsement values, and deliver effective marketing campaigns for their businesses.”
The IBM Social Sentiment Index uses advanced analytics and natural language processing technologies to analyze large volumes of social media data in order to assess public opinions.
Posted by Editors at March 22, 2013 5:46 AM | Link to this Post