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Natural language processing for analyzing internet content and finding solutions to needs expressed in text

机译:自然语言处理,用于分析互联网内容并找到针对文本表达需求的解决方案

摘要

A natural language processing methodology to automatically transform push advertising into pull advertising. Text found in forum, blog, and social media postings throughout the Internet is grammatically analyzed to identify potential customers who have expressed a clear problem. Only parsing rules with the least likely elements present are evaluated. In response, personalized replies are produced that contain pertinent and useful information about a potential product or service. Those replies appear to come from other Internet users, thus converting expressed needs of user/prospects into discussions with sales technicians.
机译:一种自然语言处理方法,可将推送广告自动转换为推送广告。语法分析在整个Internet上的论坛,博客和社交媒体发布中找到的文本,以识别表达了明显问题的潜在客户。仅评估存在最少元素的解析规则。作为响应,将生成个性化答复,其中包含有关潜在产品或服务的相关且有用的信息。这些答复似乎来自其他Internet用户,因此将表达的用户/潜在客户需求转化为与销售技术人员的讨论。

著录项

  • 公开/公告号US9805018B1

    专利类型

  • 公开/公告日2017-10-31

    原文格式PDF

  • 申请/专利权人 STEVEN E. RICHFIELD;

    申请/专利号US201414335685

  • 发明设计人 STEVEN E. RICHFIELD;

    申请日2014-07-18

  • 分类号G06F17/27;

  • 国家 US

  • 入库时间 2022-08-21 13:44:51

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