Bangalore, Karnataka, India:Ravindra Jadeja emerges as the highest trending bowler and fastest social scorer in the series
During the Border-Gavasker Test series, IBM applied advanced analytics software and natural language processing to cricket to build a social score board for the Indian Players. These Social scores were based on the intensity of the sentiment and volume of online conversations. Over 1.77 lakh posts across a variety of platforms including Facebook, Twitter, YouTube and the blogging community were analysed during the four match series. Here are the key highlights:
-- Master Blaster Sachin Tendulkar is the Man of the Series across social networks with a highest social score of 351.
-- Irrespective of his test performance, Tendulkar was the only player who was most popular among fans across all online platforms
-- Public sentiment revolved around his batting performance, his past records, his stature and retirement plans
-- Among the top performers as per the social scores, Tendulkar was followed by Dhoni and Murali Vijay as the top 3 batsmen in the series, whereas R Jadeja, R Ashwin and Harbhajan Singh were the best performing bowlers.
-- During the series, Dhoni the captain scored higher on social sentiment than Dhoni the double centurion
-- After a 4-0 victory over Australia, his overall social score stood at 230
-- Ravindra Jadeja is the highest trending bowler, having increased his social conversations 10 times since the beginning of the series
-- He generated over 73% more social conversations than R Ashwin, the man of series in the tournament.
-- Murali Vijay’s social conversations are a clear reflection of his batting performance – every spectacular performance has resulted in 150 - 220% increase in the social chatter during that period.
-- Shikhar Dhawan’s debut century in the third Test helped him sustain social conversations even in the last match where he never played
-- However, though Pujara’s double ton in the second test had seen a rise in social conversation by 12 folds, his notable performance in the final match failed to generate similar social chatter
-- Of all the posts scanned for social chatter on the game, Facebook dominated social conversations, followed by Twitter and YouTube.
About the IBM Social Sentiment Index
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. 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 into Big Data that can help them better understand and respond to consumer trends. For more information about IBM please visit: www.ibm.com/social-sentiment.
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IBM’s Social Sentiment Index for the Border Gavaskar Test Series
Raghavendra Ramesh (Raghu), IBM Communications, +91 9880036100