New Delhi: On March 7, 2015, at Eden Park in Auckland, New Zealand, the South Africa vs Pakistan match at the Cricket World Cup 2015 captured the attention of a global audience. The high tension match kept fans on the edge of their seats until Pakistan achieved victory thanks to some masterful bowling.
Each fallen wicket at the hands of Pakistani bowlers saw the crowd scream with excitement. The most emotional reaction was when Sarfraz Ahmed caught out AB De Villers in the 32nd over, changing the flow of the game. But the loudest cheers weren't just in the stands of Eden Park but those on Twitter.
The real-time measurement of sentiments of the Twitter community during the match was a key feature of IBM's ScoreWithData (@scorewithdata) campaign. IBM is known for building smarter companies and countries, but now the computing giant is employing the full force of its IBM Content Analytics as a part of its efforts to deliver insights from the ongoing Cricket World Cup.
By applying it to the Twitter community the ScoreWithData campaign was able to gauge the social sentiments of viewers in reaction to every ball bowled during the match.
IBM Social Media Analytics examines social discussion around teams, players, events, as well as examines sentiments across different entities and identifies topics that are trending. This IBM technology analyses and presents fan sentiment and answers questions like who fans think will win, or the player fans are betting on to be the most effective, etc. From a business angle, advertisers can use the discussion to appropriately position their products and services.
IBM Content Analytics examines large social content more deeply and tries to mimic human cognition and learning behaviour to answer complex questions like the impact of certain player or attributes determining the outcome of the game.
IBM Data Curation and Integration capabilities on BigInsights and Social Data Accelerator (SDA) have been used to extract social insights from streaming Twitter feed in real time, for instance about top brands buzzing, top batsmen, top celeb tweets, etc. Moreover, IBM uses Text Analytics and Natural Language Processing to perform fine grained temporal analytics around events (short lifespan but important events, like boundaries, sixes and wickets).
IBM has gone on to partner with major companies like Twitter to truly exploit enterprise service value using Watson's cognitive computing platform. As IBM's Social Sentiment Index demonstrates - the voice of the online consumers today is a great opportunity for modern businesses everywhere.
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