Semantic-Based Algorithm for Effective Social Media Marketing

Elrond Lawrence

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Semantic-Based Algorithm for Effective Social Media Marketing

機譯：基于語義的有效社交媒體營銷算法

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Rise in adoption of social media, especially by enterprises, have created avenues of opportunities for effective business to business (B2B) marketing. The growing number of blogs, social channels, and other interactive sites has created huge repositories of data that could deliver actionable insights for businesses. Social media allows organizations to gain proximity to their customer and facilitates quicker understanding of customer inclination, likes, and dislikes. However, several challenges exist in extrapolation of intelligence from these data assets. Exponential increase of data repositories online and the presence of a wide spectrum of social channels have restricted the performance of traditional data collection and analysis tools. Moreover, the absence of an effective process to differentiate between useful and unwanted information process has resulted in inaccurate results leading to poor intelligence and in turn poor marketing strategies.

機譯：社交媒體（尤其是企業）采用率的上升為有效的企業對企業（B2B）營銷創造了機會的途徑。博客，社交渠道和其他交互式站點的數量不斷增加，已經創建了龐大的數據存儲庫，這些數據存儲庫可以為企業提供可行的見解。社交媒體使組織可以與客戶保持親近，并有助于更快地了解客戶的喜好，厭惡。但是，從這些數據資產推斷情報時存在一些挑戰。在線數據倉庫的指數級增長以及廣泛的社交渠道的存在限制了傳統數據收集和分析工具的性能。此外，由于缺乏有效的流程來區分有用和不想要的信息流程，導致結果不準確，導致情報不佳，進而導致不良的營銷策略。

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《Inside R & D》 |2012年第30期|p.2|共1頁
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Elrond Lawrence;
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HRmarketer.com, POBox 10, Capitola, CA 95010;

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Semantic-Based Algorithm for Effective Social Media Marketing

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