论文标题

改善Web内容品牌一致性的综合方法:建模,分析和建议

An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation

论文作者

Roy, Soumyadeep, Sural, Shamik, Chhaya, Niyati, Natarajan, Anandhavelu, Ganguly, Niloy

论文摘要

一个依赖消费者的(企业对消费者)组织倾向于表现为拥有一系列人类品质,这被称为公司的品牌个性。感知通过内容给消费者留下了深刻的印象,无论是广告,博客还是杂志的形式。一致的品牌会随着时间的流逝而产生信任并保留客户,因为他们对规律性和共同模式产生亲和力。但是,维持品牌的一致消息传递基调在需要撰写并将其推向互联网的内容数量上的虚拟爆炸量变得更加具有挑战性,以在数字营销时代保持优势。为了了解问题的深度,我们收集了大约650家公司的约30万个网页内容。我们通过考虑内容的语言特征来开发特定特定的分类模型。分类器会自动识别与公司的使命和愿景不一致的网络文章,并进一步帮助我们发现无法维持一致性的条件。为了解决品牌不一致问题,我们开发了一个句子排名系统,该系统输出了前三个句子,这些句子需要更改以使网络文章与公司的品牌个性更加一致。

A consumer-dependent (business-to-consumer) organization tends to present itself as possessing a set of human qualities, which is termed as the brand personality of the company. The perception is impressed upon the consumer through the content, be it in the form of advertisement, blogs or magazines, produced by the organization. A consistent brand will generate trust and retain customers over time as they develop an affinity towards regularity and common patterns. However, maintaining a consistent messaging tone for a brand has become more challenging with the virtual explosion in the amount of content which needs to be authored and pushed to the Internet to maintain an edge in the era of digital marketing. To understand the depth of the problem, we collect around 300K web page content from around 650 companies. We develop trait-specific classification models by considering the linguistic features of the content. The classifier automatically identifies the web articles which are not consistent with the mission and vision of a company and further helps us to discover the conditions under which the consistency cannot be maintained. To address the brand inconsistency issue, we then develop a sentence ranking system that outputs the top three sentences that need to be changed for making a web article more consistent with the company's brand personality.

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