Different World Cup: from IBM's social Big data analysis

A World Cup, let me such a pseudo fans know Suarez, Ochoa and Rogrigues, and in the knowledge of each team player and style of the true fans, there must be a new word-"big data."

This World Cup, seemingly and ordinary fans very remote "big data" technology swept away from the results of the game forecast, to the various statistical analysis of the game, and then to the team tactical development, large data technology are integrated into it. For example, behind Germany's title, large data analysis played a very important role in the development of the game plan, thus winning the German team "12th person" reputation.

At the same time, the combination of big data and media in the World Cup has sent fans a unique "football report feast".

If you've been watching Tencent's World Cup report, have you noticed that there are a lot of reports that are close to the hot spots of your own concern? Do you feel "deep in my Heart" about many of these venues? Do you see "Fan Portrait" When you can not help a pat thigh, sigh "This is not what I am" ...

Yes, it's about you--because these stories come from the little traces of the social network that you left behind: "Neymar is so handsome!", "Ronaldo this new hairstyle is really ugly", "Robben, great Love Rom", "Germany to win!", "Alas, how Italy played so badly, farewell after four years" .... By synthesizing these authentic words and feelings, you can analyze your preferences through IBM's big data technology, such as the team, the players and the hot topics, and the media can recommend what you prefer to report.

Isn't it amazing? This is the power of big data analysis.

Large data into media coverage

Social networks have changed the World Cup, and for netizens and fans, the World Cup is a "World Cup at the fingertips", and social networks such as Weibo and friends have become the ground for fans to spit, comment and interact, generating a lot of data: a game that has 16.4 million discussions; 15 days cumulative up to 1 billion times forward-massive data contains a large number of valuable information and business opportunities, but also become the barrack of large data technology.

Prior to the World Cup, IBM and Tencent were "holding hands" as Tencent's partner in data analysis for sports social media. IBM based on the network media platform and Social network of Tencent published a large number of public information and data, through the large-scale data analysis technology, to obtain fans topics, fans type, fan personality analysis, and so on a series of insights; Tencent, through these analyses, provides insights to guide content reporting, subdivide audiences, and create content that fans prefer.

IBM, for example, is based on a comprehensive analysis of the content released by typical fans on social media such as Weibo, and comparative psychological task character analysis model, through large data technology for fan character analysis, sketch out the typical fan image of different stars, not only fans of interest, and even personality characteristics and behavior are portrayed in detail. For example, the key words of Neymar fans are "sunshine, love, fun, leisure, etc.".

Through large data analysis, the media can understand the preferences and concerns of users and fans, can be targeted to produce content and recommend, which greatly improved the experience of netizens. As a media person, the author often to find the topic that readers like to headache, often carefully produced topics but reflect the cold, the reason is that the media awareness and readers need to appear disjointed. Large data analysis has changed the traditional one-way communication mode of media, so that readers can become the "participants" of content production, thus more close to the needs of readers. "Big Data" opened a new model of media coverage, it is reported that many media groups have shown interest in the hope of similar cooperation with IBM.

Let the machine understand like a human brain

IBM's Big Data analysis technology can analyze the fans ' preferences through the bits and pieces left on the social network? It sounds magical. We know that the information on social networks is very complex, and many of them are not related. For example, the fans of the microblogging has food, automobiles, football, tourism and many other content, irrelevant, how can from a large number of complex information to filter out the most valuable information?

In addition, the information in the social network belongs to the natural language, and there are many ways to express Chinese, such as "One day, Otto from the many urban landscapes in Ulm, chose a watercolor painting sent to Einstein, as a memorial to his birthplace" and "Einstein was born in the German Ulm" expressed the same meaning, How can large data analysis techniques identify natural languages and understand the real meaning that netizens want to express?

IBM relies on "natural language recognition and machine self-learning capabilities" of large data analysis technology. Readers familiar with the computer should remember the history of the famous "man-Machine War", IBM "Watson" supercomputer in the U.S. "dangerous edge" of the story of the defeat of the human champion, "Watson" showed the speed and accuracy beyond the human answer, Its winning secret is natural language recognition and machine learning capabilities, which IBM calls "cognitive computing."

"Natural language recognition" and "machine learning" capabilities are critical to analyzing social network data, which allows computers to constantly absorb new information that humans give it, making it easier to understand the semantics of social networks, to find correlations, and ultimately to produce accurate results. In short, IBM's large data analysis technology is like allowing computers to think and understand like the human brain, but with more information, faster, and scientific data support.

In cooperation with Tencent, IBM Large data analysis provides "deep emotion mining" technology, in order to master the real feelings of netizens, such as a product like or not like, why like; at the same time, the system can also like people to understand the article mentioned some clues, such as time, place, people, events, etc., There is a 90% correct ability to judge vague language. IBM has also carried out the fan character analysis through the big data technology, has provided the important reference for Tencent's pertinent content report formulation.

Big Data Change Life

Not only in the media coverage of this World Cup, IBM's Big Data analysis technology also plays a great role in tennis, rugby, golf and other competitions, which brings a better experience for the fans and provides a reference for the players and coaches to develop a reasonable training and competition plan. At the same time, help the organizers to set up the world's top events also helped the relay organization to deliver the wonderful game .... Large data analysis technology is bringing about a new change in sporting events.

Maybe many people get to know big data through this World Cup, in fact, the big data is not far away from us, it has been integrated into our lives: In the enterprise, large data is helping decision-makers make more scientific decisions; In shopping, big data is improving people's shopping experience; in hospitals, large numbers are advising doctors, Come up with a more appropriate treatment-maybe in the near future, human life will be completely changed by big data.