Data Mining microblogging business opportunities

Weibo is very popular, while the popular business model is still in the exploratory stage, spending more than making. Weibo has a wide range of business directions, both based on the fractional deployment of the enterprise, earning revenue through the provision of a standardized microblogging solution, and http://www.aliyun.com/zixun/aggregation/17574.html "> advertising based on the media platform." Can also obtain revenue from the search and electronic business by providing flow aggregation and guidance; another is based on user data mining value-added applications, and so on, regardless of the way to obtain revenue, all need to face the micro-bo huge flow of information, this time movement, dynamic change in the flow of information in order to bring all kinds of income of micro-blog is possible, For micro-bonnet enterprises, such a large amount of data can be almost a comment on any topic, but first of all to face the noise caused by massive data.

Micro-blog data is very large, and the real value of the enterprise information is not much. At the same time, micro-bo vast number of users are not all related to the enterprise, it is required through the use of data mining technology to a lot of micro-bo data flow in-depth analysis, to obtain information conducive to business decision-making.

The microblogging data stream actually consists of two parts, micro-blogging content and microblogging users. Micro-BO rolling blackboard information broadcast way, it is easy to reduce the user's sensitivity to the content, users can easily release people, forwarding people, text, image kneading instant feeling, the cursory sweep, those specific content, the implied meaning of words will often be ignored. This is a side note that the microblogging user's attention is free, not only micro-blogging time fragmentation, and users in micro-blog is also difficult to always stay focused. Micro-BO data mining is from these large, incomplete, noisy, fuzzy, random data, to extract the hidden, potentially useful information. A large number of users, a large number of information in the dynamic change, accurate, real-time understanding becomes an important task, almost all corporate micro-blogging activities are closely related to the goal of this work.

Enterprise Micro-blog behavior from marketing to public relations, customer service, research and product exposure, activity initiation, public opinion monitoring, etc., these goals actually need to relate a large number of ordinary users. This extends the need for micro-blog content, microblogging users, micro-blog use depth mining to achieve quantitative, qualitative monitoring. These data tracking, analysis, refining through the existing search engine is difficult to do, the search engine is too machine, in essence, information retrieval. In the tracking of micro-blog interaction, through technical means to explain, and the various information related, and then give results as a basis for decision-making, but with the user's psychological.

Although the psychology can not be pondered, fortunately Weibo users once spoke in the micro-blog, they have a position and inclination, will be able to classify and track, analysis, accompanied by the content of the user can be differentiated. Provide effective micro-blogging data mining applications or tools, the strategy support that the enterprise is based on the behavior of the micro-bonnet, especially the micro-blog becomes the network standard now, the enterprise Weibo marketing needs to have solid, can rely on the data support, this gives the microblog platform or the third party development company to bring the very small business opportunity, At the same time, effective data mining in turn to improve the micro-blogging user experience, to provide chargeable personal value-added applications also have a great help.