Data Mining Social Media Analytics

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Must read! Big Data: Hadoop, Business Analytics and more (1)

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations?   Don't worry, this little book from the Wikibon community wants to help you.   Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

Using SPSS text Mining tools to build the potential rewards of marketing and brand interaction channels

These individual-level behaviors embedded in the original social media data represent customer preferences, purchase histories, significant life events, moods, personalities, and other attributes that are obtained through text mining, which can be stored in social media data marts. The social networking pioneers we know today came in the late the 1960s, when the bulletin board was one of the first interactive message sharing platforms. Later (in the 1990s, when Craigslist and AOL entered the spotlight), the social revolution was the basis for rapid growth. Social networking ...

Chen Kun and Huang Xiaoming under the Big Data of Social Media

In recent years, the emergence and flourishing of social media (and self-media) can profoundly affect its development under the giant of film and television industry. It links directly to audiences (consumers) at every aspect of the production of film and television. Many decision-makers who have significant resources in the industry are also trying to assess whether the projects in their hands have real markets by analyzing the information on social media value. Not only that, they are even more engaged in using this information to make products or create brands and get real money back. And for the movie industry's most scarce and most sought-after resources - celebrities, social media to ...

The commercialization of social media is the trend

Recently, it has been reported that Twitter will work with Nelson to launch a service to monitor the content of television on its website, which will further prove and deepen the commercial value of the content of the social platform. NM incite is focused on social media, which includes not only the socialguide of social-TV-related services, but also the tools of social insight platform, and plainly the data analysis tool, as well as industry solutions and consulting services, which are a big highlight of the company. Nielsen has a lot of experience in dealing with user data, and McKinsey can ...

How to occupy the traditional newspaper industry in the big data age?

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

Weibo TV Index: social big data transformation TV

Social media and television are simply a couple of natural goodies. iDoNews Industry Insider # 367 July 8 (WeChat iLoveDonews) From a product design perspective, social media generates content from the user's communication while television evokes the need for communication from the content output. In other words, television-generated content can be extended to social media discussions that bring a host of consumer content to social media and give room for exchange. However, for a long time, this seemingly simple so-called closed-loop content is not ...

Big Data 9 Lessons

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain.   As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

US data mining company Socialgist to work with everyone

Summary: Check the latest quotes Beijing time November 6 morning news, the United States Professional Data mining company Socialgistsocialgist Tuesday announced that the company has reached a partnership with everyone (Nyse:renn). Socialgist said that for social media data from everyone, the company looked at the latest market Beijing time in the early hours of November 6 News, the U.S. professional data mining company Socialgistsocialgist Tuesday announced that the company has been with everyone (N ...).

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

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