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SYSTEMS AND METHODS FOR INTELLIGENT PROSPECT IDENTIFICATION USING ONLINE RESOURCES AND NEURAL NETWORK PROCESSING TO CLASSIFY ORGANIZATIONS BASED ON PUBLISHED MATERIALS

机译:使用在线资源和神经网络处理基于出版材料对组织进行分类的智能目标识别的系统和方法

摘要

In an illustrative embodiment, methods and systems for identifying prospective new clients based upon review of current clients include accessing a book of business of a user of a transactional platform to identify current clients, identifying, key terms relevant to each of the clients, automatically performing Internet searches, each search using different groupings of the key terms, automatically deriving from web sites of the search results information regarding a number of prospects, and presenting prospect information to the user. The key terms may be identified through performing web searches and web scraping of online information related to the current clients. The clients may be categorized based upon organizational attributes prior to searching. An initial set or sets of key terms may be filtered through performing a number of data analyses on the key terms.
机译:在说明性实施例中,用于基于对当前客户的回顾来识别预期新客户的方法和系统包括访问交易平台的用户的业务簿以识别当前客户,识别与每个客户相关的关键术语,自动执行互联网搜索,每个搜索使用关键术语的不同分组,自动从网站中获取有关多个潜在客户的搜索结果信息,并将潜在客户信息呈现给用户。可以通过对与当前客户有关的在线信息进行网络搜索和网络抓取来识别关键词。在搜索之前,可以基于组织属性对客户进行分类。可以通过对关键字进行多次数据分析来过滤一组初始关键字或一组关键字。

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